Data Analysis Jobs

I’m looking for an experienced academic writer with a completed PhD to help develop three publishable social science manuscripts that will form a full PhD thesis. Total length is about fifty thousand words. You’ll work from clear outlines, notes, and ongoing guidance from me. Target pace is one manuscript per month. ***Please share your ResearchGate or other research profile link. Do not apply if you do not hold a PhD*** Project themes Extension as a mechanism for farmer resilience in the face of socio ecological pressures in the Chittagong Hill Tracts How modern AEAS should respond to socio ecological pressures in marginalized farming communities Socio ecological pressures and responses among traditional farmers in the Chittagong Hill Tracts The work centers on agricultural...

Experience working in a support role for Australian Banks or Mortgage Brokers is a must. Support a busy panel of Australian mortgage brokers by preparing thorough, lender-ready credit assessments. Your day-to-day work will revolve around three core activities: • Support Brokers– interpret client applications, verify income and liabilities, and generate a clear risk grade that aligns with major bank and non-bank policy. • Financial statement analysis – drill into tax returns, BAS, PAYG summaries and company accounts to confirm serviceability and highlight red-flags early. • Risk evaluation and mitigation – outline potential hurdles (LVR, postcode, employment history, credit file issues) and suggest practical compensating factors or alternative struct...

I’m looking for an experienced Python algo developer to automate a mechanical Sweep-and-Reclaim trading strategy for crypto. The rules are already defined in a strategy playbook — your job is to implement them exactly, with no discretion. The project involves building: A full Python implementation of the strategy A backtesting engine using the same logic A Bybit testnet/live trading module A simple visual plotting interface to verify entries/exits A config file with adjustable variables (timeframes, filters, risk settings, etc.) This is not strategy creation — this is purely mechanical execution of existing rules. CORE REQUIREMENTS 1. Python Strategy Automation You will implement the logic from my playbook, including: External structure alignment Internal struc...

data analysis by using R program fitting model (codes, plots) data interpretation. writing report

I am looking for an experienced developer to support me in building an AI agent using n8n. The goal is to automate the creation of reports according to German guidelines. Ideally, the agent should generate the final report as a ready-to-use Word document. This is a small, personal project. If the collaboration works well and the results are reliable, additional projects will follow. Strong knowledge of n8n workflows and experience with AI integrations are required. Clear communication and precise execution are important to ensure that the agent runs smoothly and meets the defined requirements. If you have a solid background in automation and AI, I would be happy to hear from you.

I need an academically rigorous essay that explains core quantitative research models and then zeroes-in on hypothesis testing. After setting the theoretical scene, the paper should walk the reader through how hypothesis testing operates inside three common procedures—t-test, ANOVA and the Chi-square test—showing when each test is appropriate, the assumptions it rests on, and how results are interpreted in practice. Scope • 1500 words, APA 7th edition throughout • Recent peer-reviewed sources (minimum eight) to anchor the discussion • Clear examples or mini-case scenarios that illustrate each test; feel free to reference software outputs from SPSS, R or Excel if that strengthens the explanation Deliverables 1. Word document (or Google Doc) with all cita...

I need a skilled developer to write code for a Python application, potentially using Docker. Key Requirements: - Writing Python code for a specific application - Docker integration Ideal Skills & Experience: - Proficiency in Python - Experience with Docker - Familiarity with libraries like Pandas, NumPy, or Scikit-learn Please provide examples of similar work.

Project: Build an Automated “Local Visibility Benchmark Report” System (For Automotive & RV Dealerships) I am looking to hire a specialist to build an automated reporting workflow that generates a branded PDF report showing: • Google Business Profile ranking heatmaps • Competitor comparison • Review score benchmarking (vs category averages) • Category + AI Overview readiness • Missed features or errors • Estimated visibility revenue loss This system will serve as a lead magnet + authority asset for dealerships. ⸻ Required Skills (Non-negotiable): or Make (Integromat) Experience with connecting APIs from GBP/Local SEO tools Ability to generate branded PDF workflows automatically Ability to work from a system outline (not needing han...

I’ve shared a Google Sheets file containing all the raw data and now I need it transformed into an intuitive, self-updating dashboard. The end goal is clear insights at a glance, so I’m looking for dynamic visuals—think interactive charts, summary cards, and filters—built directly inside the spreadsheet (or connected with the built-in Data Studio connector if that simplifies maintenance). Here’s what matters to me: • A single “Dashboard” tab that pulls from the existing data tabs without duplicating information. • Visuals that refresh automatically whenever new rows are added. • Clean, coherent layout: key KPIs up top, supporting trend lines and category break-downs below. • Straightforward formulas or pivot tables behind...

I’m midway through an AI-focused case study that poses four separate questions on tackling a categorical-data regression problem. The work is not tied to a particular industry such as healthcare, finance, or marketing; it sits squarely in the broader AI domain itself, with the goal of demonstrating sound methodology, clear reasoning, and reproducible results. Here’s what I need from you: • Four concise, fully worked-through answers—one per question—covering data preparation, model choice, training, evaluation, and interpretation. • Any Python code (NumPy, pandas, scikit-learn, or similar) used to reach the answers, commented well enough for me to rerun and tweak. • A brief explanation of why regression on purely categorical features was approach...

Write a technical journal paper in machine learning

I’ve shared a Google Sheets file containing all the raw data and now I need it transformed into an intuitive, self-updating dashboard. The end goal is clear insights at a glance, so I’m looking for dynamic visuals—think interactive charts, summary cards, and filters—built directly inside the spreadsheet (or connected with the built-in Data Studio connector if that simplifies maintenance). Here’s what matters to me: • A single “Dashboard” tab that pulls from the existing data tabs without duplicating information. • Visuals that refresh automatically whenever new rows are added. • Clean, coherent layout: key KPIs up top, supporting trend lines and category break-downs below. • Straightforward formulas or pivot tables behind...

I want to streamline several day-to-day actions I perform in NetSuite by driving them through well-structured VBA macros. At the moment everything is handled manually—pulling data down to Excel, cleaning it up, re-uploading CSVs, or chasing the same reports week after week. My goal is to replace that routine with clean, reusable VBA code that speaks fluently with NetSuite (whether through CSV import/export, the SuiteAnalytics ODBC driver, or any other connection method you recommend). Here is what I need from you: • Analyse the steps I currently follow inside NetSuite and the companion spreadsheets. • Design and build VBA procedures that replicate those tasks reliably. • Document each macro clearly so I can tweak parameters or ranges in the future. • Walk ...

I have a new chemical-process model that needs to be built from scratch in Aspen HYSYS, and I want an expert to walk me through—or directly create—the initial steady-state simulation so it runs cleanly and converges. Scope of what I need • Simulation setup is the priority; optimisation can wait until the base case is stable. • The flowsheet must include a distillation column, a heat exchanger and a reactor, all connected with correct material and energy streams. • Typical property packages and convergence methods should be chosen for reliable mass- and energy-balance closure. How we’ll work together I will provide feed specifications, product targets and any vendor data I have. You build or guide the build inside HYSYS, annotate key assumptions, a...

I’m building a car-review website where the standout feature is an AI engine that tailors vehicle recommendations to each visitor. Rather than scraping browsing data or hooking into social media, the system will rely on a concise user-preferences questionnaire presented during the onboarding flow. The questionnaire must capture: • Driving style • Car brand preferences • Budget range Using those three inputs, the model should instantly rank suitable cars and surface the most relevant in-house reviews, specs, and pricing information. I need the full pipeline: data pre-processing, model selection or fine-tuning, API or microservice that returns ranked results, and a front-end component (React preferred, but open) that displays both the questionnaire and the recomm...

I’m looking for help converting the figures in my general ledger into a clear, GAAP-style Cash Flow Statement that covers the full fiscal year and follows the cash-basis approach I already use. All the raw data—bank feeds, receipts, and ledger entries—are ready; what I need is the accounting expertise to structure them into the standard Operating, Investing, and Financing sections and make sure the totals reconcile properly. Please use whatever tool you’re most comfortable with—Excel, Google Sheets, or accounting software like QuickBooks or Xero—as long as the final document can be opened in Excel and PDF. A short narrative explaining major cash movements would be great so I can share it with my stakeholders. Deliverables: • Cleaned and organized ...

I’m mapping out a single, real-time dashboard inside GoHighLevel that pulls live data from four separate systems—PushPress (via API), QuickBooks, Google Analytics and, of course, GHL itself. The goal is to see sales performance, customer-engagement trends and high-level financial snapshots at a glance, all rendered primarily as bar charts for quick comparison. You can reference my full requirements here: What I need from you • Connect each data source securely and schedule automated refreshes • Model the data so key KPIs—sales totals, engagement metrics and concise financial summaries—line up cleanly across platforms • Build intuitive bar-chart views (with scope for line or pie variants later) that can be filtered by date range, product, or loc...

I’ve shared a Google Sheets file containing all the raw data and now I need it transformed into an intuitive, self-updating dashboard. The end goal is clear insights at a glance, so I’m looking for dynamic visuals—think interactive charts, summary cards, and filters—built directly inside the spreadsheet (or connected with the built-in Data Studio connector if that simplifies maintenance). Here’s what matters to me: • A single “Dashboard” tab that pulls from the existing data tabs without duplicating information. • Visuals that refresh automatically whenever new rows are added. • Clean, coherent layout: key KPIs up top, supporting trend lines and category break-downs below. • Straightforward formulas or pivot tables behind...

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I need a GPX file containing tracks converted into a shapefile format. The output should be in polygon format. Ideal Skills and Experience: - Proficiency in handling GPX and shapefile formats - Experience with GIS software like ArcGIS or QGIS - Attention to detail and accuracy in data conversion

I need a skilled freelancer to create a business analytics dashboard using Retool and Postgres. The data will be sourced from CSV/Excel files. Technical Skills Retool (critical) Postgres or Supabase JavaScript (basic scripts inside Retool) API + CSV/Excel ingestion experience Data modeling + dashboard building Manufacturing KPIs (bonus) Soft Skills Can work from specs, not hand-holding Can iterate fast Understands financial or operational reporting

I need a cross-platform mobile app (Android & iOS) to manage an electronic fencing training mannequin based on ESP32-S3. The app will help athletes and coaches monitor performance, access rankings, receive AI-driven training programs, and manage firmware updates and premium content. Objectives Monitor and improve fencers’ performance using the electronic mannequin. Provide local and global rankings, detailed statistics, and personalized training programs. Support remote assistance, OTA firmware/app updates, and premium content purchase. Core Features Performance Monitoring Reaction speed, completion time, error percentage, accuracy. Comparative analysis: personal history vs global average. Rankings Local (gym) and global rankings with filters (age group, category, exercis...

read through the "Red Snapper Scenario" at the top of the page. All of this week's assignments focuses on historical Red Snapper Catches for 2015 through 2018 (by Quarter) off the coast of Louisiana. The last four rows of the table are empty as 2019 is what you are going to forecast using the historical data for 2015 through 2018. As you scroll down through the Spreadsheet, you will notice in the far left column, there are five tasks for you to complete this week. Every one of these tasks is mirrored in the three YouTube videos below. Although this project is about Red Snapper Catches (your faithful designer's favorite fish to catch and eat out of the southern bays of Louisiana) and the videos forecast Car sales, the process for forecasting the future year (in our case ...

My current Amazon FBA catalog has out-of-date parent/child links and scattered SKU data, making inventory tracking harder than it should be. I want to bring everything into one clean, logically mapped structure so I can manage stock with confidence and avoid stranded or duplicated listings. Here’s the outcome I’m after: • A master catalog map that groups every SKU under the correct parent, variant, and browse node hierarchy • An easy-to-maintain flat-file template (Excel or CSV) ready for bulk upload in Seller Central • Clear, step-by-step notes explaining the mapping logic so future audits or new ASIN additions stay consistent Success for me means the inventory dashboard in Seller Central instantly reflects accurate counts and variations without manual wor...

I have several Excel/CSV files packed with numerical data that must be converted into a clean, consistently formatted PDF set. Accuracy is non-negotiable; every figure from the spreadsheets needs to appear in the final PDFs exactly as it stands now. You’ll start with the source files I provide, confirm there are no hidden characters or layout issues, then export or rebuild the content so the PDFs look professional and print-ready. If you prefer using Excel’s built-in export, Adobe Acrobat, or another reliable tool, that’s fine as long as the end result is identical to the source figures and paginated logically. Please let me know your estimated turnaround time and any questions about the datasets, and we can get moving right away.

I need several batches of handwritten and scanned notes turned into clean, digital text. The task is straightforward simple data input: type each line exactly as it appears into the Excel template I’ll provide via Google Drive. No data processing, cleaning, or special formatting—just accurate, swift typing. You’ll receive: • High-resolution PDFs of the source material • A pre-formatted spreadsheet with clearly labeled columns Deliverable: • A fully completed spreadsheet that mirrors the original information line-for-line, free of spelling errors, extra spaces, or merged cells. Accuracy is the priority, but speed matters too; the full set—roughly 8,000 lines—needs to be finished within one week of project start. If you rely on OCR or other...

I need several batches of handwritten and scanned notes turned into clean, digital text. The task is straightforward simple data input: type each line exactly as it appears into the Excel template I’ll provide via Google Drive. No data processing, cleaning, or special formatting—just accurate, swift typing. You’ll receive: • High-resolution PDFs of the source material • A pre-formatted spreadsheet with clearly labeled columns Deliverable: • A fully completed spreadsheet that mirrors the original information line-for-line, free of spelling errors, extra spaces, or merged cells. Accuracy is the priority, but speed matters too; the full set—roughly 8,000 lines—needs to be finished within one week of project start. If you rely on OCR or other...

I’m midway through a research project and need an experienced SmartPLS user to help me push it over the finish line. You’ll be my go-to person for anything PLS-SEM, from double-checking the model specification to running the analysis and explaining the outputs in plain language. I already have the raw data and a working conceptual model; what I’m missing is the confidence that everything is coded, estimated, and reported to academic standards. Here’s how I picture our collaboration: • Review my current SmartPLS file to confirm that indicators, latent constructs, and paths are set up correctly. • Run reliability and validity checks—outer loadings, AVE, CR, HTMT, the works—and flag anything that needs adjustment. • Interpret the struct...

I need a custom-built Google Sheet that lets me dig into my sales data and quickly understand revenue performance. The core purpose is data analysis, so clean structure and reliable formulas matter more to me than bells and whistles. Here’s what I’m hoping the sheet will do: • Accept raw sales exports (CSV or XLSX) with minimal manual cleanup • Automatically calculate total and per-period revenue, growth %, and average order value • Provide dynamic views—think pivot tables or QUERY functions—so I can slice revenue by product, region, or rep on the fly • Highlight trends with simple charts or sparklines that refresh as new data is dropped in • Keep everything well-labeled and protected so colleagues can’t break formulas whe...

I need reliable help transferring product information from several existing Excel spreadsheets into a new template that I will provide. Every row must be copied, checked, and reformatted so it fits the columns and validation rules already built into that template. The source files are straightforward Excel workbooks; no database exports or paper scans are involved. Accuracy is critical—naming conventions (SKUs, variants, units, prices) have to stay consistent throughout, and any missing fields should be flagged back to me rather than guessed. You’ll work directly in Excel (or Google Sheets if you prefer) and return one final, fully-populated version of the template. I’ll consider the job complete once: • all products from the source sheets appear in the templ...

I need a detailed inventory categorization to clean up and organize our product setup and year-end inventory. Key Tasks: - Categorize inventory based on product type, storage location, and turnover rate. - Analyze current setup for inconsistencies and provide a structured, efficient layout. - Ensure data accuracy and readiness for year-end review. Ideal Skills: - Experience in inventory management and analysis - Strong attention to detail - Ability to provide comprehensive and detailed project proposals I am looking for someone to assist in assessing our Shopify site, clean up inventory and assisting with the best way to do end of year inventory

Job Description: SAP S/4HANA Inventory Management – Work Support Role: SAP S/4HANA Inventory Management Consultant Type: Remote Work Support (Part-Time / Hourly) Experience: 8+ Years (SAP MM / Inventory Management) Overview: We are looking for a highly experienced SAP S/4HANA Inventory Management Consultant to provide work support for ongoing issues, enhancements, and functional guidance. The consultant should have deep expertise in SAP MM/IM and strong troubleshooting skills. Key Responsibilities: Provide daily work support for SAP S/4HANA Inventory Management processes. Troubleshoot and resolve issues related to GR, GI, stock transfers, reservations, physical inventory, and material master. Analyze stock discrepancies, movement type errors, batch/serial issues, and valuation ...

I need reliable help keeping my customer records accurate and up-to-date. The core of the job is straightforward: take the raw data I supply, verify each entry, correct any inconsistencies, and return a clean master file ready for daily use in our CRM. Although my current priority is simply updating customer data, I appreciate someone who understands the bigger picture of data management and can spot issues before they snowball. Show me examples of previous work where you handled similar data-cleaning or data-entry projects—seeing real results tells me much more than a generic proposal ever could. If that experience includes common tools like Excel, Google Sheets, Airtable, or a CRM platform, mention it; I’ll be able to gauge fit instantly. Deliverable: • A fully updated...

I have already built a two-terminal HVDC transmission model in MATLAB/Simulink that incorporates power-flow control and has demonstrated a 20 % overall efficiency gain in preliminary tests. My next objective is to push that figure higher by targeting energy-loss reduction while validating the model’s behaviour under grid-interconnection scenarios. Here is what I have in place: • A functioning Simulink schematic of the converter stations, DC line, and AC grids • Basic power-flow control logic that balances the two terminals • Data from the first round of simulations confirming the current gain Where I need your help is in refining the model so that every avoidable watt stays in the system. Specifically, I want to: • Identify and quantify dominant loss paths ...

I maintain a growing catalogue of products and need a reliable hand to keep the inventory data clean, insightful, and up to date. All work will be handled in Microsoft Excel, so strong command of formulas, look-ups, and pivot tables is essential. Here’s what I need from you: • Data entry – transfer new SKUs, stock counts, and supplier details from purchase orders and delivery notes into the master sheet with zero errors. • Data analysis – spot variances, highlight slow-moving items, and flag potential stock-outs using simple yet informative metrics and conditional formatting. • Report generation – compile a weekly snapshot that summarises current stock levels, turnover rate, and reorder recommendations and deliver it in both raw Excel and a neatl...

I have a collection of text and numerical records coming directly from several online databases. Your task is to pull that mixed data and reshape it so every cell matches the structure of my master template. Here’s the workflow I envision: you access the databases through the credentials I provide, export or copy the raw records, then carry out thorough data formatting—standardising dates, trimming whitespace, fixing capitalisation, aligning numeric precision, and slotting each field into my column order. The finished file should arrive back to me as a clean, ready-to-use Excel or CSV document with no stray characters or mismatched headers. A quick pivot-table or sort test on your side to confirm everything lines up is enough; I’m not asking for deep verification, j...

I’m looking for an experienced cryptocurrency day-trader to operate my Binance account actively throughout the trading day. Your role is to execute short-term positions, manage risk, and grow the account balance while following a clear, agreed-upon strategy and risk cap. Here’s how I picture our collaboration: • Strategy & Risk: We will agree on entry/exit criteria, maximum drawdown, and position sizing before the first live trade. I need disciplined adherence to these rules rather than improvisation. • Execution & Monitoring: You’ll place and adjust orders directly on my Binance account (through API or secure remote session) and monitor open positions in real time. • Reporting: At the close of each trading day, send me a concise summary of tr...

I need an expert who can turn my current Excel workflow into a largely hands-free system. The priority is automation—specifically streamlining data entry, speeding up data processing, and producing polished reports without repetitive manual steps. Here’s what I expect: • Build or refine advanced formulas—and, where they make sense, macros or Power Query steps—to pull raw inputs into the workbook, validate them, and push the results into structured tables ready for analysis. • Configure one-click or event-driven routines that transform those cleaned tables into the summary sheets and charts I already use for reporting. • Document the logic clearly inside the workbook so I can maintain or extend it later. • Deliver an advanced-level trai...

I have several sets of information that need to be turned into a clean, well-structured spreadsheet. The raw material arrives in mixed formats—PDFs, images, website tables, and a few loose CSV files—and I need every piece copied or exported accurately into a single Excel workbook that follows a column layout I will provide once the project begins. Accuracy takes priority: numbers must match their original sources, dates should retain their local format, and text fields cannot lose special characters or accents. Where you find duplicates, flag them rather than deleting so I can confirm. If you already use tools such as Excel Power Query, Google Sheets, or Python scripts to speed up repetitive copying while maintaining precision, feel free to incorporate them; manual typing is...

I need reliable help transferring product information from several existing Excel spreadsheets into a new template that I will provide. Every row must be copied, checked, and reformatted so it fits the columns and validation rules already built into that template. The source files are straightforward Excel workbooks; no database exports or paper scans are involved. Accuracy is critical—naming conventions (SKUs, variants, units, prices) have to stay consistent throughout, and any missing fields should be flagged back to me rather than guessed. You’ll work directly in Excel (or Google Sheets if you prefer) and return one final, fully-populated version of the template. I’ll consider the job complete once: • all products from the source sheets appear in the templ...

I need the numerical series displayed in a single interactive chart on a public webpage captured exactly as shown today and handed back to me in a clean Excel (.xlsx) file. This is a one-time job—no recurrent scraping or scheduling once the data is safely in the spreadsheet. The chart is rendered dynamically via JavaScript, so you may have to rely on browser developer tools, Selenium, Python, or any solution you prefer to pull the values accurately. I will supply the URL as soon as we start. Every plotted number must be copied; missing or rounded figures are not acceptable. Please structure the spreadsheet so each column represents a series (if more than one exists) and use intuitive headers that mirror any labels visible on the chart. When you finish, send me the Excel file an...

RaRoC SaaS Platform : The Solution 1. Objective Develop a cloud-native SaaS platform tailored for Indian banks and NBFCs to: • Calculate Risk-Adjusted Return on Capital (RaRoC). • Allocate capital and costs by product, segment, and risk type. • Perform flexible scenario analysis modelling. • Provide real-time dashboards for risk, capital, and profitability metrics. • Support end-to-end workflow and audit trails for compliance and governance. 2. Key Features a. Data Ingestion & Connectors • Connectors/APIs to ingest data from core banking systems, credit risk systems, loan and investment portfolios, treasury, and ERP systems. • Support common Indian BFSI data standards and custom formats (CSV, JSON, XML). • Batch and real-time data ingestion capab...

I need a finance-savvy analyst to transform our raw accounting and sales data into a polished monthly report. The report must cover income and expenses, balance sheet, cash flow statement, equity movements, sales & customer analysis, and stock valuation insights. The finished deliverable is a single, well-structured PDF ready for senior management. You’re free to mix Power BI, Tableau, and Excel—whichever combination lets you clean, model, and visualise the data most efficiently—so long as the resulting PDF flows logically and the numbers reconcile with our source files. I’ll supply the exports, chart of accounts, and any supplementary data you need. Acceptance criteria: • All six sections are complete and accurate against the source data • Visuals...

I need fresh eyes on my day-to-day operations so I can move the right tasks to freelance talent and trim recurring costs without sacrificing quality. Your role starts with a quick audit of my current workflow, then moves into a practical action plan that shows exactly where outsourcing will produce the biggest savings—whether that ends up being content writing, graphic design, digital marketing, or another area you identify during the review. What I expect from you: • A short, data-backed report comparing my in-house spend to projected freelance costs. • Clear recommendations on which tasks to outsource first and which platforms or talent pools best match each task. • A step-by-step roll-out roadmap I can follow immediately, including any tools you suggest for t...

You’ll be working with text-based information that I supply each day and transferring it accurately into either Excel or Google Sheets, depending on the file I send. After each import, you’ll double-check for typos, keep the columns tidy, and save the sheet in the shared drive so I can review it every evening. Consistency and reliability matter more to me than speed. As long as you can commit to a quick turnaround Monday through Friday, we can turn this into a long-term collaboration. Deliverables I’m expecting: • A clean, fully updated spreadsheet at the end of each workday • Clear notes on any irregularities or missing fields you spot If you already know the basics of formulas such as TRIM, CONCAT, and simple data-validation rules, that’s a pl...

Project Overview We are developing an AI-powered analytics tool for heat network performance optimisation, using data from Building Management Systems (BMS), heat network controllers, and plant-level telemetry. We are seeking a freelance specialist with strong experience in communal/district heat networks, BMS data, thermal plant controls, and network performance analysis to help us validate, interpret, and enhance our analytics features. This role is for someone who deeply understands how primary/secondary circuits behave, how thermal losses occur, how low-carbon plant is controlled, and how data can be translated into operational improvements for heat networks. We will start with a 8-hour pilot project to test your skills and suitability for longer-term work. Responsibilities 1...

I have spent the last six years sharing Indian stock-market insights on Twitter and now want to formalise that work. The goal is to turn my proprietary sentiment model—built on 20+ years of raw NSE data—into a fully automated workflow that produces numerical tables for Nifty, Bank Nifty and the most actively traded stocks, refreshed on a daily, weekly and monthly basis. My method has nothing to do with the usual Moving Average, RSI or Bollinger Band playbooks. I’ll give you the exact formulas once we sign an NDA; your task is to turn those rules into repeatable code, pull fresh data from (or an equivalent authorised source) and deliver clean CSV/Excel tables that are ready for immediate publishing. Key deliverables • Data pipeline that fetches historical and new...

I need a data-savvy partner to pull together the story hidden inside three different analytics tools—Hilium 10, Zoho Analytics, and Google Analytics—and turn it into clear, revenue-driven action on six marketplaces: Amazon, Flipkart, Myntra, , Tata Cliq, and Ajio. Scope of work All raw traffic data, user-behavior signals, and sales metrics from each tool have to be extracted, matched, and compared so I can see what truly moves the needle on every channel. Once the patterns are clear, the findings must be translated into concrete changes that can be implemented directly on each marketplace (product page tweaks, campaign adjustments, keyword refinements, inventory or pricing moves, etc.). Deliverables • A consolidated dashboard or report—built in the platform you...

I need an expert in ground-mounted solar farms who can produce monthly reports. The reports consist of monthly production details, including information on the tasks carried out by the operatives, and photographic evidence demonstrating each task undertaken. The report will be 30/40 A4 pages each month.

I need a well-structured MBA-level research paper that investigates how employee salaries in India’s finance sector—specifically within large companies—are effecting Your work should combine current academic literature with fresh primary or secondary data so we can explain which macro-economic drivers, regulatory moves, talent-supply shifts, and firm-level policies are having the greatest impact on pay. A clear methodological section, solid statistical analysis (SPSS, R or Python—your choice), and properly formatted APA citations are essential. Acceptance criteria and deliverables • 7,000–8,000 word paper in editable Word format • Executive summary, introduction, literature review, methodology, findings, discussion, recommendations, reference...