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I turn raw, messy datasets into clear business decisions — building end-to-end analytics projects across banking, fintech, energy, agriculture and e-commerce domains.
- 🧹 Data cleaning and preparation using SQL and Excel
- 📊 Interactive dashboard development in Power BI and Tableau
- 🔎 Exploratory data analysis to uncover actionable business insights
- 📝 Documenting analytical workflows for transparency and reproducibility
Visualization & BI
Power BI · Tableau Public · DAX · Power Query
Database & Query
SQL · DB Browser for SQLite · Data Cleaning · EDA
Spreadsheet Analysis
Excel · Pivot Tables · VLOOKUP · XLOOKUP
Analysis Techniques
Customer Segmentation · Churn Analysis ·
RFM Analysis · Trend Analysis
🏦 Bank Customer Churn Analysis
SQL + Tableau | Identified 51% churn rate
in 46-60 age group, 100% churn for
4+ product customers
🌍 Global Layoffs Trend Analysis
SQL (SQLite) + Tableau | Cleaned real-world
messy data using window functions, CTEs
and self-join logic
💰 Indian Personal Finance Behaviour
Power BI + DAX | Identified gender financial
literacy paradox across 1,000 respondents
☀️ Solar Power Generation Analysis
Power BI + Data Modelling | Identified 24%
generation gap from equipment fault
🌾 Smart Farming Crop Yield Analysis
Tableau + Geographic Mapping | Analysed
IoT data from 500 farms globally
🛒 Ecom Express Sales Analysis
Power BI + DAX | Quantified ₹167.87M revenue
lost to cancellations
- 🌱 I’m currently honing my skills in SQL, python, and learning trending tools like Microsoft Fabric to engage in industry relevant trends.
- 👯 I’m looking to collaborate on independent projects based work on similar fields.
📍 Kolkata, India
💼 Open to: Jr Data Analyst | BI Analyst |
MIS Analyst | Operations Analyst roles