Amazon Fresh | F3 GMT Pricing Team- Developed the pricing engine that drives Amazon Fresh's pricing algorithm, making a positive impact for our customers and earning trust- Reduced major overhead for our Business team through development of price generator simulation experiments, to drive efficient and optimal price adjustments of goods in Amazon Fresh stores

Amazon's Choice | Core Data Platform Team - Designed and built a workflow using AWS Step Functions that simulates product exclusion from Amazon's Choice recommender system for experiments/analysis- Expanded the Business team’s visibility on performance and financial impact of product trust signal data, which is consumed by the ML model, for consumer search optimization- Vastly improved efficiency of signal data anomaly detection and reduced triggering of false alarms and creation of time-consuming tickets

Homeland Security Department | SQUINT Election Integrity Team- Collected data from Twitter, Reddit, Facebook, and other social media regarding election integrity topics such as voter fraud, election suppression, ballot harvesting, etc. through SQUINT, an app that enables rapid social media situational awareness for state and local officials through crowd-sourced reporting - Analyzed large data with thousands of reports from SQUINT and implemented an official summary reports generator that sends election information and analytics on social media to election leaders in multiple states across the U.S.