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Data Analysis Data Processing Data Visualization Excel Excel VBA
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Om Kumar S.

@omkumarsingh1

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4.9
9

3.5

3.5

100%

Data Analyst | Data Specialist | Adv. Excel | AI

$8 USD / Hour

・

Flag of INDIA

India (11:52 PM)

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Joined on February 16, 2025

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1 Recommendation

$8 USD / Hour

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I help businesses organize, analyze, and automate their data using Excel, Google Sheets, Python, SQL and AI -- so work becomes faster, cleaner, and easier to manage. I work mainly on:- - I'm Exprienced in clawdbot & Claude AI & More AI tools to do anything Faster than your Mind. - Advanced Excel solutions (complex formulas, dashboards, VBA automation) - Google Sheets (formulas, dashboards, Apps Script automation) - Data analysis & visualization [Excel & Power BI (DAX)] - AI-based automation for repetitive tasks - Data extraction & web scraping - SQL for querying, data extraction & reporting - Python for data analysis, data processing and automation - Professional reports & presentations (PowerPoint, Word) I focus on clean structure, clear results, and practical solutions that actually help in daily business work. If you need someone reliable who understands data and automation end-to-end, I’m happy to discuss your project.

Verifications

On time

100%

On budget

100%

Accept rate

94%

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Portfolio

Portfolio

13756726
I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

13754622
I created an interactive Weather Data Analysis Dashboard using Power BI to analyze historical weather conditions across multiple parameters. The project involved working with a large dataset (8,700+ rows), cleaning and structuring weather data such as Temperature, Dew Point, Relative Humidity, Wind Speed, Visibility, Atmospheric Pressure, and Weather Conditions. I designed dynamic visuals to understand how temperature varies across different weather types including Clear, Cloudy, Rain, Fog, Thunderstorms, Snow, and mixed conditions. A donut chart was used to represent the contribution of temperature values by weather category, making it easy to identify dominant weather patterns. The dashboard is optimized for clarity and usability, allowing users to quickly interpret trends and compare weather conditions. This analysis can support climate research, operational planning, and data-driven environmental insights.

Weather Data Analysis Dashboard

I created an interactive Weather Data Analysis Dashboard using Power BI to analyze historical weather conditions across multiple parameters. The project involved working with a large dataset (8,700+ rows), cleaning and structuring weather data such as Temperature, Dew Point, Relative Humidity, Wind Speed, Visibility, Atmospheric Pressure, and Weather Conditions. I designed dynamic visuals to understand how temperature varies across different weather types including Clear, Cloudy, Rain, Fog, Thunderstorms, Snow, and mixed conditions. A donut chart was used to represent the contribution of temperature values by weather category, making it easy to identify dominant weather patterns. The dashboard is optimized for clarity and usability, allowing users to quickly interpret trends and compare weather conditions. This analysis can support climate research, operational planning, and data-driven environmental insights.

Weather Data Analysis Dashboard

13753226
I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

13753221
I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

13753214
I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

13744539
Developed a comprehensive, enterprise-grade Sales Tracking and Commission Management System using Google Sheets and Apps Script automation. This fully functional solution eliminates the need for expensive CRM software while providing robust sales operations capabilities. KEY DELIVERABLES: - Master Tracker Sheet - Line-item level sales tracking with 20+ comprehensive fields including sale dates, customer information, order status, invoicing, payments, and automatic commission calculations. Features intelligent conditional formatting with color-coded status indicators (Open=Blue, Invoiced=Yellow, Paid=Green, Cancelled=Red). - Automated Commission Engine - Built sophisticated VLOOKUP-based system that automatically calculates commissions based on sales rep and product category combinations. Supports multiple commission rates, adjustments, and deductions at the line-item level. - Commission Rates Database - Centralized repository with 30 pre-configured commission rates across 5 sales repr

Sales & Commission Tracker

Developed a comprehensive, enterprise-grade Sales Tracking and Commission Management System using Google Sheets and Apps Script automation. This fully functional solution eliminates the need for expensive CRM software while providing robust sales operations capabilities. KEY DELIVERABLES: - Master Tracker Sheet - Line-item level sales tracking with 20+ comprehensive fields including sale dates, customer information, order status, invoicing, payments, and automatic commission calculations. Features intelligent conditional formatting with color-coded status indicators (Open=Blue, Invoiced=Yellow, Paid=Green, Cancelled=Red). - Automated Commission Engine - Built sophisticated VLOOKUP-based system that automatically calculates commissions based on sales rep and product category combinations. Supports multiple commission rates, adjustments, and deductions at the line-item level. - Commission Rates Database - Centralized repository with 30 pre-configured commission rates across 5 sales repr

Sales & Commission Tracker

13756726
I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

I created an interactive Call Center Performance Dashboard using Power BI to analyze key operational metrics and uncover actionable insights. The project involved cleaning and transforming raw Excel data, creating calculated measures using DAX, and designing dynamic visualizations to track call volume, agent performance, response time, and customer satisfaction. Key metrics included total calls handled, answered vs not answered ratio, average response time, average satisfaction score, resolution time by topic, and call distribution by issue type. Interactive slicers were implemented for agents and months, allowing stakeholders to drill down into performance trends and identify peak periods, bottlenecks, and high-volume call topics. This dashboard helps decision-makers improve efficiency, optimize staffing, and enhance customer experience through data-driven insights.

Power BI CallCenter Performance Dash

13754622
I created an interactive Weather Data Analysis Dashboard using Power BI to analyze historical weather conditions across multiple parameters. The project involved working with a large dataset (8,700+ rows), cleaning and structuring weather data such as Temperature, Dew Point, Relative Humidity, Wind Speed, Visibility, Atmospheric Pressure, and Weather Conditions. I designed dynamic visuals to understand how temperature varies across different weather types including Clear, Cloudy, Rain, Fog, Thunderstorms, Snow, and mixed conditions. A donut chart was used to represent the contribution of temperature values by weather category, making it easy to identify dominant weather patterns. The dashboard is optimized for clarity and usability, allowing users to quickly interpret trends and compare weather conditions. This analysis can support climate research, operational planning, and data-driven environmental insights.

Weather Data Analysis Dashboard

I created an interactive Weather Data Analysis Dashboard using Power BI to analyze historical weather conditions across multiple parameters. The project involved working with a large dataset (8,700+ rows), cleaning and structuring weather data such as Temperature, Dew Point, Relative Humidity, Wind Speed, Visibility, Atmospheric Pressure, and Weather Conditions. I designed dynamic visuals to understand how temperature varies across different weather types including Clear, Cloudy, Rain, Fog, Thunderstorms, Snow, and mixed conditions. A donut chart was used to represent the contribution of temperature values by weather category, making it easy to identify dominant weather patterns. The dashboard is optimized for clarity and usability, allowing users to quickly interpret trends and compare weather conditions. This analysis can support climate research, operational planning, and data-driven environmental insights.

Weather Data Analysis Dashboard

13753226
I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

I designed an interactive Coffee Sales Analysis Dashboard using Microsoft Excel to analyze sales performance across products, customers, countries, and time periods. The project involved integrating multiple datasets including orders, customers, and products, and using lookup formulas to relate data across sheets. Key attributes analyzed include Coffee Type (Arabica, Excelsa, Liberica, Robusta), Roast Type (Light, Medium, Dark), Pack Size, Unit Price, Profit, and Loyalty Card status. The dashboard provides: - Total Sales Over Time with monthly and yearly trends (2019–2022) - Top 5 Customers by Sales - Sales by Country comparison - Coffee Type–wise performance trends - Interactive timeline, slicers, and filters for Roast Type, Loyalty Card, and Size Advanced Excel features such as Pivot Tables, Pivot Charts, slicers, timelines, VLOOKUP/XLOOKUP formulas, calculated columns, and conditional formatting were used to create a smooth and user-friendly experience. The dashboard helps stak

Coffee Sales Analysis Dashboard excl

13753221
I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

I designed a comprehensive E-Commerce Sales Analysis Dashboard using Microsoft Excel, focused on delivering actionable business insights through interactive visuals and KPIs. The project involved working with detailed transactional data including Sales, Profit, Quantity, Discount, Profit Margin, Orders, Customers, Products, Regions, States, Categories, Sub-Categories, and Ship Modes. Data was cleaned, structured, and analyzed using Pivot Tables, calculated fields, and Excel formulas. I built a fully interactive dashboard featuring: - Key KPIs: Total Sales, Total Profit, Quantity Sold, Total Orders, Profit Margin - Year-over-Year (YoY) Growth indicators with conditional formatting - Monthly Sales & Profit trends using combo charts - Category-wise Profit (Waterfall Chart) - Category-wise Sales Share (Donut/Pie Chart) - Geographic Sales Analysis using Map Charts - Top 5 Customers by Sales - Top Products by Quantity Sold Interactive slicers were added for Region, Year, Segment, and

Advanced E-Commerce Sales Dashboard

13753214
I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

I designed a complete end-to-end E-commerce Sales Analytics solution using Excel and Power BI. The project involved cleaning raw order and transaction data, structuring it into proper tables, and building an interactive dashboard for business insights. The dashboard highlights key KPIs such as Total Sales Amount, Profit, Quantity Sold, and Average Order Value (AOV). Users can analyze performance by State, City, Category, Sub-Category, Payment Mode, Customer Name, Month, and Quarter. Advanced visuals like bar charts, donut charts, line charts, and geo-maps were used to make insights clear and visually appealing. The design uses clean layouts, professional color themes, and slicers for easy filtering and decision-making. This dashboard helps businesses quickly identify top-performing products, profitable regions, payment trends, and seasonal patterns making it a powerful tool for data-driven decisions.

E-Commerce Sales Dashboard

13744539
Developed a comprehensive, enterprise-grade Sales Tracking and Commission Management System using Google Sheets and Apps Script automation. This fully functional solution eliminates the need for expensive CRM software while providing robust sales operations capabilities. KEY DELIVERABLES: - Master Tracker Sheet - Line-item level sales tracking with 20+ comprehensive fields including sale dates, customer information, order status, invoicing, payments, and automatic commission calculations. Features intelligent conditional formatting with color-coded status indicators (Open=Blue, Invoiced=Yellow, Paid=Green, Cancelled=Red). - Automated Commission Engine - Built sophisticated VLOOKUP-based system that automatically calculates commissions based on sales rep and product category combinations. Supports multiple commission rates, adjustments, and deductions at the line-item level. - Commission Rates Database - Centralized repository with 30 pre-configured commission rates across 5 sales repr

Sales & Commission Tracker

Developed a comprehensive, enterprise-grade Sales Tracking and Commission Management System using Google Sheets and Apps Script automation. This fully functional solution eliminates the need for expensive CRM software while providing robust sales operations capabilities. KEY DELIVERABLES: - Master Tracker Sheet - Line-item level sales tracking with 20+ comprehensive fields including sale dates, customer information, order status, invoicing, payments, and automatic commission calculations. Features intelligent conditional formatting with color-coded status indicators (Open=Blue, Invoiced=Yellow, Paid=Green, Cancelled=Red). - Automated Commission Engine - Built sophisticated VLOOKUP-based system that automatically calculates commissions based on sales rep and product category combinations. Supports multiple commission rates, adjustments, and deductions at the line-item level. - Commission Rates Database - Centralized repository with 30 pre-configured commission rates across 5 sales repr

Sales & Commission Tracker

4.9 · 9 Reviews
9 Reviews
M
Flag of UNITED STATES

Michael B.

5.0

$275 USD

6 hours ago

Modernize Excel VBA Compatibility

Om Kumar modernized my Excel sheets quickly and was very easy to work/communicate with. He provided concise instructions and worked diligently to make sure the project was finished to my complete satisfaction. I will definitely hire him for any future programming needs.

Excel
Excel VBA
Excel Macros

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S
Flag of INDIA

Sanjay M.

3.6

₹2,000 INR

4 months ago

Market Demand survey for precast construction elements in North India, Jaipur , Rajasthan and Gurgaon.

Prompt delivery of the project work awarded to the freelancer

Market Research
Statistical Analysis
Data Visualization
Data Analysis
Survey Research

+3 more

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D
Flag of INDIA

Rishabh P.

5.0

₹5,300 INR

4 months ago

Word MCQs to Excel Conversion

very good on time worl was delivered

Data Processing
Data Entry
Excel
Word
Microsoft Office

+5 more

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Flag of UNITED KINGDOM

Asterial Digital Studio

5.0

₹600 INR

5 months ago

Design PowerPoint Presentation

Excellent Work, Will hire again

Powerpoint
Presentations

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W
Flag of AUSTRALIA

Ashish D.

5.0

$20 AUD

5 months ago

Sydney/NSW Property Investment Research

Great work. Was persistent until client happy. Happy to work again.

Research
Excel
Real Estate
Data Analysis
Financial Modeling

+1 more

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Experience

AI DATA ANALYST AND MANAGEMENT

Feb, 2024 - Jul, 2025

•

1 year, 5 months

ALOM EXTRUSIONS LIMITED

Feb, 2024 - Jul, 2025

•

1 year, 5 months

Managed AI-driven data analytics projects to optimize business operations. Analyzed large datasets using statistical models and machine learning techniques. Created interactive dashboards and automated reporting systems in Excel and VBA. Provided actionable insights to leadership for strategic decision-making. Implemented data quality controls and streamlined data management processes, improving operational efficiency by identifying key trends and patterns.

Flag of INDIA

Kolkata, India

Feb, 2024 - Jul, 2025

•

1 year, 5 months

Education

Higher Secondary (12th)

2023 - 2024

•

1 year

Flag of INDIA

India

2023 - 2024

•

1 year

Secondary (10th)

2021 - 2022

•

1 year

Flag of INDIA

India

2021 - 2022

•

1 year

Qualifications

Get Started with Google Workspace Tools Skill Badge

2025

Google Cloud

Earn an introductory skill badge by completing the Get Started with Google Workspace Tools course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.

2025

Google Cloud Data Analytics Certificate

2025

Google Cloud

This certificate program prepares learners for cloud data analyst, cloud data technician, and cloud operations analyst roles. It builds on foundational data analytics skills including basic SQL, data cleaning, analysis, visualization, and business intelligence. Cloud data analysts leverage cloud computing to prepare, process, and analyze data for key business decisions. Upon completion, learners will be able to share findings effectively with stakeholders and provide data-driven recommendations.

2025

Tata Data Visualisation: Empowering Business with Effective Insights

2025

Forage

Tata Data Visualisation: Empowering Business with Effective Insights Job Simulation on Forage - May 2025 * Completed a simulation involving creating data visualizations for Tata Consultancy Services * Prepared questions for a meeting with client senior leadership * Created visuals for data analysis to help executives with effective decision making  

2025

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Freelancer Orientation

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