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ecommerceanalytics

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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 dashboardโ€”transforming complex datasets into clear, visual business narrativesโ€”to deliver deep-dive analytics across the Customer, Product, and Seller ecosystems.

  • Updated Jun 16, 2026
  • TSQL

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.

  • Updated Aug 15, 2025
  • Python

This project is an end-to-end E-Commerce Sales Analytics solution developed using SQL, Python, and Power BI. The project demonstrates the complete data analytics lifecycle, starting from raw data import and SQL-based analysis to Python data cleaning, exploratory data analysis (EDA), and interactive dashboard development in Power BI.

  • Updated Aug 10, 2026
  • Jupyter Notebook

๐Ÿ“ฅ Collect Data โ†’ ๐Ÿงน Clean & Prepare โ†’ ๐Ÿ”— Model (Pivot Tables) โ†’ ๐Ÿงฎ Calculate KPIs โ†’ ๐Ÿ“Š Build Dashboard โ†’ ๐ŸŽ›๏ธ Add Slicers โ†’ ๐Ÿ“ˆ Analyze Trends โ†’ ๐Ÿ’ก Generate Insights โ†’ ๐Ÿš€ Make Data-Driven Decisions

  • Updated Nov 25, 2025

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