Building data-driven solutions for forecasting, inventory optimization, logistics analytics, and operational excellence.
Industrial Engineering student passionate about applying data analytics to solve real-world supply chain challenges.
I build end-to-end analytics solutions for forecasting, inventory optimization, S&OP, and logistics using Power BI, SQL, Python, and Excel.
🎯 Currently seeking graduate roles in Supply Chain Analytics, Demand Planning, and Business Intelligence.
| 📦 Supply Chain | 📊 Analytics | ⚙️ Operations |
|---|---|---|
| Demand Forecasting | Dashboard Development | Operations Research |
| Inventory Optimization | Python Analytics | Logistics Analytics |
| S&OP | SQL | Process Improvement |
| Supply Chain Analytics | Business Intelligence | Decision Support |
- Forecasted 1.50M Units
- Bullwhip Ratio Analysis
- EOQ & Safety Stock
- Reorder Point Automation
- Warehouse Risk Detection
Tech Stack
Power BI Excel Forecasting Inventory Optimization
🔗 Repository
https://github.com/rishichandran1417/FMCG-Supply-Chain-Project
- Supplier Performance
- OTIF Analysis
- Fill Rate
- Forecast Accuracy
- Logistics KPI Dashboard
Tech Stack
Power BI Excel Supplier Analytics
🔗 Repository
https://github.com/rishichandran1417/Supply-Chain-Performance-S-OP-Analytics
- Inventory Turnover
- Reorder Point Monitoring
- Logistics KPIs
- Inventory Health
- Stock Availability
Tech Stack
Power BI DAX Power Query
🔗 Repository
https://github.com/rishichandran1417/Inventory-and-Supply-Chain-Management-Analysis-Dashboard
Unilever | Coursera
- Supply Chain Strategy
- Demand Planning
- Inventory Management
- Forecasting
- Supply Chain Analytics
- Machine Learning for Forecasting
- Time Series Forecasting
Open to Graduate Roles, and Supply Chain Analytics Opportunities
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