Freelancer logo
Log In Sign Up
Post a Project

EXPLORE

Data Entry Data Processing Excel Microsoft Access Visual Basic
Profile cover photo
User Avatar

Satish Kumar T.

@satishtl

4.6
58

6.1

6.1

97%

Excel/VBA/Data Analysis/SSIS/Power BI/MSAccess/SQL

$30 USD / Hour

・

Flag of

India (9:10 AM)

・

Joined on June 9, 2014

・

3 Recommendations

$30 USD / Hour

・

Bachelors in Engineering - Computer Science o Expertise In: (Excel, SSIS, Power BI,MS Access, VBA, Data Entry, Webscraping. o eCommerce Data Mapping - eBay, bigCommerce, SalePresenter o Excel - Excel Macros programming, automation, VBA, formulas using data extraction from file and data sources, consolidation, populating graphs, pivot table, lookup,, Excel - Formulas,. Data import/export. o Outlook, Word - Word Template automation, Outlook mails automation. o Data analysis, data extraction from website, populating data on to websites. o MS Access - Designing forms for user input, building reports, Databased designing. Build full fledged software for small institutions on their customized needs. o Database - MS Access, Database Programming, SQL, MYSQL, importing exporting, extraction and modifying data. o Dedicated and would complete to the timelines committed. o Would provide additional support for minor issues/changes to have customer satisfaction and build a long time relationship.

Verifications

On time

68%

On budget

68%

Accept rate

87%

Repeat hire rate

11%

Freelancer Excel Experts India
See all Excel Experts in India

Portfolio

Portfolio

4405693
- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

4385234
- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

4256584
- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

4249239
- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

4076010
- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

4012232
- Getting the Calendar events Tasks, Appointments from Outlook including the Categories. - Removing some of the events based on conditions. - Also for the incoming mails, automatically detect certain verbiage in the mails and tracnform them to a modified content and have the mail forwarded to a different mail id.

Outlook Automation

4405693
- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

- Need to generate the XML from the existing XSD file for the data provided in Excel. - Based on the Number of Orders separate XML files needs to be generated for each of the Order with multiple Line Items - The scriptiing logic Checks for each order multiple lines items and creates on XML for each Order. - The similar logic to generate Purhcase Order XMLs.

XML Generator from Excel Data

4385234
- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

- Client needed to know the Contracts that are coming up for renewal. - Based on the Current Quarter selected each Quarter will have the contracts that would be listed that are due to expire. - Be able to calculate the summary - Best Case, (BC), Worst Case(WC) and Most Likely (ML) - Able to filter the data based on different parameters like the AI Score, MRR low and High etc. - View of the data in multiple formats ranked by AI, WRRr, EvA, SvA, Evp etc. - Finally show the TopRanking accounts.by selecting the Account Executive and the cutoff parameters.

Contracts - Renewal and Analysis

4256584
- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

- Required 50+ vendor files to be mapped to the bigCommerce template for bulk uploading to the site. - Each vendor had different format, which was made consistent using the mapping and the Products were ported to the target file. - Included additional logic during the data conversion like Foot to inches, KGs to LBs, dimension calculations, Cost price from List price with any additional charges, based on the vendor image files suit the best for the Big Commerce template image fields. - Based on the Model, MPN or SKU the parent child relationship bought in the logic for bulk uploading. - Attached are the samples of Vendors - OW, Nourison, Dimond the source and the target files. - Have done similar for eBay Turbo Lister, Google Merchant, SalesPresenter

eCommerce Store : Vendor to Store mapping for Bulk Upload

4249239
- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

- To create a Roster Coster - used to work out staffing cost and hours based on the projected occupancy of an accommodation camp. - Based on the Staff Master for each individual site, the Rostering for a fortnight is done depending on the shifts worked. - Each employee is assigned to a particular site, department, wage type(Salaried, Wage,Labour Hour) - Depending on the Salary category they are assigned to the salary is calculated. - Salary componenent is based on Number of hours worked, removing break hours, seeing its a Public Holiday, Sunday, Number of OT hours worked. - Also the leave types PL, SL, RDO are considered for the salary calculations including Loadings. - After finalising the Roster the Occupancy projection is calculated for each department. - Actauls are recorded in Staff Attendance and the salary calculation is done again, adding or removing employee for the site based on the Actuals. - Finally the report generated as Roster for the fortnight for staffs.

Roster / Staff Attendance - Wage Calculations

4076010
- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

- Data points(48) across dynamic rows of date period of units consumption - Calucations based on SheetA and SheetB and populating SheetC. - Dynmically generating Bar, Pie charts for Monthly Totals, %Total. - Scatter chart - with the axis and the Weekly color indicators being dynamically set. - Surface charts having 10 legends, dynamically populating the color and the axis ranges, gridlines - Depending on the total period the number of Surface Charts auto generated - Couple of line Plots for special day, and the average of 48 data points. - After the user input, and clicks the button the entire sequence of calcuations and Graph generations are done and shown in respective tabs.

Data Analysis and Dynamically generating charts.

4012232
- Getting the Calendar events Tasks, Appointments from Outlook including the Categories. - Removing some of the events based on conditions. - Also for the incoming mails, automatically detect certain verbiage in the mails and tracnform them to a modified content and have the mail forwarded to a different mail id.

Outlook Automation

4.6 · 58 Reviews
58 Reviews
E
Flag of

Ernest B.

5.0

$20 USD

6 years ago

Conditional formatting, using Countif to find dupes in 2 worksheets

Excellent

Excel

Share

D
Flag of

Daniel C.

5.0

$700 USD

8 years ago

Censo forestal - excel macro

His way of work, in fact, very organized and accomplish the project

Excel

Share

User Avatar
Flag of

Michael H.

5.0

$125 USD

8 years ago

Excel to XML

We presented a challenge to Satish to generate an excel spreadsheet that would export a multi layered piece of XML. The project was completed ahead of time and on budget. I have no hesitation in recommending or considering him for other opportunities.

XML
Excel

Share

User Avatar
Flag of

Michael C.

1.0

$30 AUD

8 years ago

Access DB Maintain and Update

Slow progress and job cancelled

Visual Basic
Excel
Microsoft Access
Business Analysis
Database Development

Share

K
Flag of

Kevin H.

5.0

$625 AUD

8 years ago

Excel Data dashboard

Satish exceeded my expectations from the start. I had a complex project and during our hour long discovery call before I had agreed to award him the project he took the time to understand and make suggestions for the project. Satish worked tightly to our agreed timeline and delivered a great first version. We worked together to perfect the functions which has lead to a great document that will be heavily used on a daily basis. Hire him!

PHP
Visual Basic
Data Processing
Data Entry
Excel

Share

Experience

Excel VBA Expert MS Access Data Analysis SQL Programming

Sep, 2004 - Mar, 2014

•

9 years, 6 months

Freelancing, Blogs, Forums

Sep, 2004 - Mar, 2014

•

9 years, 6 months

Have extensive experience in Excel, VBA, Macro programming, automation. Created data consolidation, validation used for report generation. Have good handle on MS Access - Tables, Queries, Forms, Procedures. GUI Dedicated and would work for satisfaction of customers. WIll maintain timeline and quality of work. Would be a stand by person for supporting employees on the assignment completed.

Sep, 2004 - Mar, 2014

•

9 years, 6 months

Education

University of Madras

1988 - 1992

•

4 years

Bachelors in Engineering - Computer Science

Flag of

India

1988 - 1992

•

4 years

Qualifications

ITIL - Foundation

2013

ITIL

ITIL Foundation Certification

2013

Prince2 Practitioner

2013

APMG International

Prince2 Certification - Project Management

2013

Certifications

Basic Numeracy - Level 1

Basic Numeracy

P

Preferred Freelancer Program SLA

US English - Level 1

US English

Freelancer logo US (International) / English
Help & Support

Freelancer

Categories Projects Contests Freelancers Enterprise Innovation Challenges AI Development Membership Preferred Freelancer Program Project Management Local Jobs Photo Anywhere Showcase API for Developers Get Verified

About

About us How it Works Security Investor Sitemap Stories News Team Awards Press Releases Careers

Terms

Privacy Policy Terms and Conditions Copyright Policy Code of Conduct Fees and Charges

Partners

Escrow.com Loadshift Warrior Forum

Apps

Apple App Store logoGoogle Play logo

Registered Users

Total Jobs Posted

Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)

Copyright © 2026 Freelancer Technology Pty Limited (ACN 142 189 759)