▪ Led cross-functional teams (engineering, finance, compliance, legal) in identifying and executing data-driven solutions to business opportunities, such as: - Reduce air contaminating emissions by 30% to enable 7nm manufacturing ramp within permit - Recycle half a billion gallons of water annually - Save $200 million in energy and facility costs through accurate forecast modeling and optimization of process parameters - Presented forecasts and reported on key metrics to leadership▪ Recruited and trained team of 9 responsible for modeling & forecasting﹘ensuring sufficient factory capabilityto match demand▪ Created machine learning algorithms in Python to quantify KPIs of individual manufacturing operations▪ Developed data methodologies and authored whitepapers to reduce analysis runtimes from weeks to days

Technical lead for team of 4 responsible for enabling Intel's future growth in manufacturing through environmental compliance. Designed a database model to accurately and efficiently model fab processes to aid strategic business decisions on wafer manufacturing around the world.

- System owner of a multi-stage chemical treatment system involving stripping towers and catalyst beds- Led a multi-million dollar project to improve efficiency and capacity of treatment systems- Optimized operating conditions to minimize environmental emissions and ensure >99.5% uptime- Communicated changes and improvements to 5 different factories worldwide, accounting for regulatory and environmental differences at each site