Post by Abhinay Sharma

🚀 New portfolio project: End-to-End Supply Chain Optimization I built a full supply chain analytics case study from scratch —  simulating 24 months of data, designing KPI dashboards, and  modeling inventory optimization using real-world methodologies. What the project covers: ✅ Demand forecasting with trend/seasonality detection ✅ EOQ & safety stock modeling across 5 warehouses ✅ ABC inventory classification & Pareto analysis ✅ Supplier scorecards with risk-weighted KPIs ✅ Logistics network optimization & carbon tracking ✅ Monte Carlo simulation for supply chain resilience Key simulated results: → Inventory turnover: +62% (4.2x → 6.8x) → Supply chain cost: -21% ($12.4M → $9.8M) → CO₂ emissions: -27% → Forecast accuracy: MAPE 8.5% This is a self-directed case study using synthetic data to  demonstrate analytical capabilities. #SupplyChain #Analytics #Python #DataScience #OperationsResearch #PortfolioProject #InventoryOptimization #Logistics