Master’s degree in Logistics | Supply Chain & Data Analytics | Lean Six Sigma
This repository collects my projects in supply chain analytics and data-driven process improvement
- Operational Analytics Prototype (Python + Power BI)
End-to-end prototype combining Python, Power BI, and Six Sigma for exception handling in logistics.
- Excel: advanced formulas, Power Query, pivot tables, KPI dashboards,
- Power BI: interactive reports, data visualization, supply chain KPIs,
- Python (Pandas, NumPy): data cleaning, anomaly detection, process automation,
- SQL: queries for supply chain and business analysis,
- Lean Six Sigma: DMAIC, Pareto analysis, waste reduction, continuous improvement,
- Problem-Solving Mindset: structured approach to identifying root causes and designing solutions,
- Analytical Storytelling: translating raw data into clear business insights and recommendations,
- Collaboration: experience in cross-functional teams (operations, finance, supply chain).