Led Thrasio's price elasticity ML system for product pricing on Amazon using Double Machine Learning, driving annual revenue over $500M. Outputs are integrated with forecasting and supply chain systems, further driving business value. Managed the entire life cycle, including model development and deployment to production, offline testing, A/B testing, explainability, maintenance and stakeholder management. Managed a performant pricing optimization system that dynamically adjusts prices based on product inventory levels on a bi-weekly basis. Jointly developed a MLOps solution with ML platform engineers to standardize ML pipeline design, model registry, ML artifacts storage, and Snowflake integration. Mentored data scientists on effectively deploying their models into production environments.