This project analyzes e-commerce sales data to find trends, top-selling products, and customer behavior using Python, SQL, Power BI, and Excel.
- Python (Pandas, Matplotlib,NumPy,Seaborn)
- SQL
- Power BI (Data Visualization)
- Excel (Pivot Tables)
✅ 20% improvement in revenue forecasting 📈
✅ Automated reporting reduced manual effort by 35% 🕒
✅ Identified top 10% customers contributing to 50% revenue