Building data-driven retail systems with Machine Learning and full-stack Python development.
Background in retail operations transitioning into analytics and software development.
Focused on:
- CPFR & Demand Planning
- Retail Analytics
- Forecasting Systems
- Inventory Optimization
- Full-Stack Python Applications for business solutions
Full-stack web application for retail demand forecasting, replenishment planning and inventory optimization.
- Prophet + Random Forest ensemble forecasting
- Automated replenishment engine
- Executive dashboards
- Multi-tenant architecture
- Async ML processing with Redis workers
- Forecasting by SKU and store
🌱 I’m currently learning an exploring
- ML Engineering
