Data Science & Analytics
Data Science & Analytics
HDIP
An in-house IT system for India's iconic pressure cooker brand.
Featured
2026
Highlights
- → SQL ETL pipeline → star-schema SQLite warehouse (192 MB) with 10 indexes, 5 analytical views
- → Three ML modules: SARIMA forecasting, Isolation Forest anomaly detection, K-Means RFM segmentation
- → 7-page Streamlit BI dashboard with pan-India GIS choropleth and warranty defect analysis
- → All orchestrated by a single run_pipeline.py command
1.05M+
transactions
1,900
dealers modeled
7
dashboard pages
Stack
PythonSQLiteSARIMAStreamlitScikit-learnGIS