ML-driven customer segmentation and growth analytics — full ETL pipeline from SQL extraction through Python statistical analysis to Tableau visualization.
An end-to-end data analytics project that analyzes e-commerce growth patterns using SQL for data extraction and transformation, Python for statistical analysis and data processing, and Tableau for interactive visualization dashboards. The project demonstrates the full analytics pipeline from raw transaction data to actionable business insights including customer segmentation, revenue trends, and conversion funnel analysis.
| Entry Point | N/A (analysis notebooks) |
| Build | pip install -r requirements.txt |
| Run | jupyter notebook |
| Architecture | Data analytics pipeline — SQL → Python → Tableau |
| Dependencies | 0 |
| Docker | No |
Data analytics pipeline — SQL → Python → Tableau