Welcome to my Supply Chain Analysis Portfolio 🚀
This repository showcases 7 projects covering forecasting, inventory optimization, supplier performance, logistics KPIs, network design, and sustainability.
Each project includes datasets, analysis (Python/Power BI/Tableau), and business insights.
| # | Project | Description | Tools/Methods | Link |
|---|---|---|---|---|
| 01 | Demand Forecasting | Time series forecasting (ARIMA, Prophet) to predict SKU demand | Python, Statsmodels, Prophet |  |
| 02 | Inventory Optimization | EOQ, Safety Stock, and Reorder Point calculations | Python, Excel, Power BI | View Project |
| 03 | ABC/XYZ Analysis | Product classification by sales value & demand variability | Python, Pandas, Tableau | View Project |
| 04 | Logistics Performance Dashboard | Interactive dashboard for OTIF, lead time, transport cost KPIs | Power BI / Tableau | View Project |
| 05 | Supplier Performance & Procurement | Supplier scorecards based on lead time, cost, reliability | Python, Power BI | View Project |
| 06 | Network Optimization | MILP model to select optimal warehouse locations | Python (PuLP / OR-Tools) | View Project |
| 07 | Sustainability (CO₂ Emissions) | Compare transport modes by cost vs CO₂ emissions | Python, Tableau | View Project |
- Python (
pandas,numpy,statsmodels,PuLP,Prophet,matplotlib,seaborn) - Jupyter Notebooks for analysis & modeling
- Power BI / Tableau for dashboards
- GitHub for version control & portfolio presentation
- Demand forecasting & time series analysis
- Inventory management (EOQ, safety stock, ROP)
- Supplier evaluation & procurement analytics
- Logistics KPI design & dashboarding
- Network optimization with linear programming
- Sustainability & CO₂ emissions analysis
- Data visualization & storytelling
Hi, I’m Miltiadis Tsirempolos, a Senior Logistics Operator passionate about supply chain analytics and continuous improvement.
This portfolio reflects my journey in applying data-driven decision-making to real supply chain challenges.