I focus on applied data science in retail, working across forecasting, pricing optimization, revenue growth management (RGM/ NRO) initiatives, and customer and category analytics. My work centers on turning complex data into clear, actionable insights that directly inform business decisions. I’m particularly interested in building practical, scalable solutions using machine learning and AI—where they add real value and drive measurable impact
Turning price into a strategic growth engine through elasticity modeling, causal inference, and uplift analytics
Engineering intelligent, multi-level forecasting systems that power inventory & trade planning and operational efficiency
Designing data-driven assortment strategies using substitution modeling and performance decomposition
Retail 3P Reporting
Forecasting Pipeline
AI Chrome Plugin
Retail Experimentation
Retail Pricing
Advance AI/ML Implementation
VS Code Extension
Chrome Extension