Building systems that lie at the cross-section of core engineering, Machine Learning, Econometrics, Operations Research and Data Science to optimize what Selection Amazon offers its customers.

Building large scale simulation systems to model Amazon's supply chain system for inventory flow prediction and supply chain experimentation.

Responsible for driving innovation in the inventory buying space and building software solutions to automate and optimize Amazon’s inventory buying for seasonal periods (e.g. Q4). Lead a team which delivers solutions to optimize inventory buying decisions across millions of items procured by Amazon from its vendors, across Amazon’s marketplaces worldwide, while maximizing overall customer instock experience and long term economic value given network and operational constraints. Own end to end product development including research, design, development and product rollout.

Led advanced analytical modeling for AGS Spares and Services businesses. Evaluated financial performance and opportunities across the Semiconductor product and customer portfolio, and regularly presented to senior leadership and product teams during product strategy discussions. Led a team of analysts and project managers to build models to determine entitlement for the spares and service business (market sizing), benchmark performance against the entitlement across AGS’ product and customer portfolio and determining opportunities for / risks to topline and bottom line growth.Tracked market movements and trends closely, and helped assess how this would impact AGS’ spares and service business.

Responsibilities for developing advanced analytics models to solve complex business problems for Applied's Spares and Service parts business. Cross-functional role spanning areas in Marketing, Planning and Operations, Logistics and Finance. Responsibilities included evaluating product portfolios to determine revenue and margin improvement opportunities, understanding customer trends and performance; and working with the product and sales teams to drive market share growth. Past responsibilities have included developing and implementing mathematical models for supply chain planning, inventory optimization and network design; decisions modeling and strategy. Developed and implemented a large-scale multi-item, multi-echelon inventory optimizer for planning Applied Material’s spare parts inventory worldwide. Worked actively with global planners and senior managers to drive the change management process and help define overall part planning strategy.Implemented tools for inventory redistribution, batch ordering and integrated network design and inventory optimization to recommend the best supply chain for every part (factoring in logistics, global tax rates, trade laws, etc).

Part of the Dynamic Resource Allocation team. Worked extensively on the Multi-Depot Vehicle Routing Problem

Teaching Assistant for Linear and Non Linear Optimization, a course offered for Masters Level students. Class size : 100+

Worked on developing new methodologies for Inventory Optimization and Demand Forecasting.