Gautami Desai

Demand Planning Analyst with 3+ years at Amazon Web Services building demand forecasts, applying statistical and time-series models, and improving forecast accuracy across 5 business units on SAP. M.S.

Engineering

Management and B.E.

Industrial

Engineering, with strong mathematical and statistical foundations and proficiency in Excel, SQL, Python (Pandas, NumPy), and Tableau. Skilled in consumption-based forecast model development and validation, inventory optimization, and EOL/excess-and-obsolescence planning — delivering 10-15% cost savings and reducing decision latency 30% through advanced supply chain analytics.

Operations Program Manager at California State University, Northridge (2025-05 – Present)

• Created and managed short- and long-term demand forecasts across 50+ programs to optimize inventory levels and lower operating cost, achieving ~45% improvement in efficiency.
• Analyzed historical consumption data by channel and region, applying statistical and time-series models to highlight trends and improve forecast accuracy for 15-20 stakeholders.
• Developed statistical-computing programs and supply chain analytics to resolve demand-planning inefficiencies and deliver business insights to leadership.

Technical Program Lead at Amazon Web Services (AWS) (2021-01 – 2024-10)

• Created and managed short- and long-term demand forecasts for parts and accessories across 5 business units — optimizing inventory at distribution centers, lowering operating cost, and improving customer satisfaction on SAP MRP/ERP.
• Analyzed detailed historical consumption data by channel and region, applying advanced statistical models and time-series analysis to highlight trends and patterns; developed programs in statistical computing and graphics using Python (Pandas, NumPy) and SQL.
• Applied advanced supply chain analytics to resolve demand-forecasting inefficiencies, identify forecast-accuracy opportunities, and provide business insights to supply chain leadership; collaborated with Global Supply Managers, Inventory Management, NPI, and Marketing to gather data on key demand drivers.
• Collaborated with NPI, Reliability Engineering, and Procurement on material End-of-Life (EOL) transition planning to ensure long-term coverage while minimizing excess and obsolescence, and built a semi-automated tool that cut a multi-hour forecasting cycle 75%, adopted org-wide.

M.S. in Engineering Management – California State University, Northridge (2026)

B.E. in Industrial Engineering – MSU — Faculty of Technology & Engineering (2023)