Global Intelligence & Economic Transformation

A big data analytics project that integrates sales data from Flipkart, Amazon, and Meesho into a unified pipeline. Data is processed with Apache Spark, stored in MySQL, and visualized using Power BI/Tableau to uncover trends, top-selling products, and customer purchase patterns. Designed to support data-driven decision-making in e-commerce.

End-to-End Business Analysis of Flipkart Big Billion Days (BBD) using SQL, Python & Power BI — uncovering sales trends, category performance, customer loyalty, and discount impact.

The primary objective of this project is to bridge the gap between complex data sets and executive decision-making. The application serves as a Strategic Growth Simulator for e-commerce platforms | Ecommerce Sales Analytics

Engineered a custom 3-tier Data Warehouse (Bronze/Silver/Gold) using T-SQL for advanced data cleansing and dimensional modeling. Culminates in a multi-page Power BI executive dashboard—transforming complex datasets into clear, visual business narratives—to deliver deep-dive analytics across the Customer, Product, and Seller ecosystems.

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📥 Collect Data → 🧹 Clean & Prepare → 🔗 Model (Pivot Tables) → 🧮 Calculate KPIs → 📊 Build Dashboard → 🎛️ Add Slicers → 📈 Analyze Trends → 💡 Generate Insights → 🚀 Make Data-Driven Decisions