· Tech lead for an attribution tool tying 3rd-party seller sentiment to specific Amazon policies, products, and product features, recovering $173MM revenue through targeted responses to seller pain points (selection correction, matching, surrogates).· Quantified the impact of maintaining recommended inventory levels on seller revenue, growth, OOS (double machine learning, matching).· Estimated the entitlement of a program relaxing EU sellers' storage requirements in UK, FR, IT, DE (diff-in-diff with variation in treatment timing).· Designed an ongoing experiment to continuously measure the impact of relaxed storage capacity constraints on seller capacity utilization, revenue, and inbound shipments.· Worked cross-functionally with Product, Engineering, Data Engineering, and Finance.

· Tech lead for an experiment that varied key pre- and post-order aspects of the customer experience on all Wayfair platforms, directly affecting 95% of global customers, 100% of products, and 60% of orders.· Integrated causal estimates into existing storefront and fulfillment algorithms to unlock $31MM revenue.· Designed an algorithm to trade-off the short-term benefits of more aggressive delivery estimates andthe long-term (1-year+) costs of reduced delivery reliability, unlocking $57MM revenue.· Provided quarterly updates to the COO on the progress and value-added of ongoing projects.

· Tech lead for a v0 project using causal ML methods to study the long-term (1-year+) impacts of imperfect customer experiences (matching, causal forest, doubly robust estimation, surrogate index).· Integrated causal estimates into fulfillment ML systems, unlocking $11MM revenue.· Used experiments to estimate causal inputs for a promotions ML system, unlocking $59MM revenue.· Founded the Wayfair US summer economics internship program and managed intern hiring.

· Tech lead for a promotions data science product touching 40% of products on Wayfair.com.· Set research priorities on the joint optimization of promotions, sort, and pricing.· Co-founded a bi-weekly causal reading group and taught internal classes on experimental design.

· Performed data analysis, hardware design, and software development for GPS and mobile applications.· Assisted in the planning and execution of international GPS field experiments.