Jacqueline Chea is a Program Manager with six years of experience at Microsoft, where she drives automation of user feedback processing using NLP and machine learning while building telemetry dashboards and product roadmaps for an OS-fix service deployed to millions of devices. With an academic foundation in applied mathematics from Harvard and an MS in Analytics from Georgia Tech, she bridges quantitative rigor and product strategy to turn noisy user signals into actionable engineering work. She excels at translating ML research into reliable production pipelines and visualizations that inform cross-functional decisions. Based in Cambridge, MA, Jacqueline combines data-driven curiosity with a practical focus on scalable user-impact solutions.
6 years of coding experience
Nashua High School South
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Harvard University
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