🎓 Master’s student in Industrial Engineering & Operations Research (IEOR) at Lehigh University (May 2026)
📍 Bethlehem, PA | 💡 Passionate about supply chain, operations, and continuous improvement
📊 I bridge data analytics and process improvement to design efficient, resilient systems that cut costs, improve speed, and enhance service quality.

• Data & Analytics: SQL, Python (Pandas, NumPy, Scikit-learn), Power BI (DAX, Power Query), Tableau, Excel
• Operations & IE: Lean (VSM, 5S, Kaizen), Root Cause Analysis, SOP Development, EOQ, OTIF, Cycle Time
• Optimization & Modeling: Linear Programming (PuLP), Simulation (Arena), Forecasting / Time Series
• Systems & Tools: SAP S/4HANA, Oracle, SharePoint, Visio, Lucidchart
• Certifications: Lean Six Sigma Green Belt, CSCMP Supply Chain Foundations, SAP ERP Essential Training

• Process Improvement Consultant — Enterprise Systems Center, SVCC (2025 – Present)
  Value Stream Mapping, KPI dashboards, SOPs, Lean interventions (5S, JIT) → reduced turnaround, improved fulfillment accuracy (+25%), cost savings (6%), productivity gains (8%).

• Analyst — Dasra (Impact Foundation), Mumbai (2023 – 2024)
  OTIF dashboards, stockout prevention, automated Power Automate reporting, and procurement cycle management across 15 contracts for a $2M+ nationwide healthcare program.

• Supply Chain Intern — Nayan Trading Co., Mumbai (2023)
  SAP + SQL/Python data integration for logistics dashboards, demand forecasting for 30–50 SKUs, and supplier coordination improving on-time delivery.

• 🔹 Raw Material Optimization
  Designed a linear programming model in Python to minimize raw material costs under supply, demand, and capacity constraints. Demonstrated how optimization can reduce procurement spend and improve sourcing efficiency.

• 🔹 Vendor Performance Analytics
  Built an analytics framework to evaluate supplier performance using delivery times, cost variability, and reliability metrics. Identified vendor concentration risks and highlighted diversification strategies for improved supply resilience.

• 🔹 Sales Dashboard (Power BI)
  Developed an interactive Power BI dashboard to visualize sales by region, product line, and time period. Delivered insights on revenue drivers, margin pressures, and target gaps, enabling faster decision-making.

• 🔹 Hospitalization Cost Prediction
  Applied regression and predictive modeling techniques to estimate hospitalization costs based on patient attributes (BMI, chronic conditions, etc.). Achieved strong accuracy and demonstrated applications in healthcare cost transparency and resource allocation.

• 🔹 CO₂ Emissions Reporting
  Created a Python-based pipeline for emissions data cleaning, reporting, and visualization. Highlighted patterns and anomalies in CO₂ emissions to support sustainability analysis and compliance reporting.

• LinkedIn
• GitHub
• 📧 Email: pmilonee13@gmail.com