Summary
Jooyoon Han is a data scientist with 10 years of experience building and deploying machine learning and statistical models across enterprise and product contexts, currently at Meta after senior roles at Microsoft and Convoy. She combines a strong biostatistics foundation (M.S., University of Washington) with hands-on expertise in R, Python, and SQL to turn unstructured data into actionable business insights using regression, random forests, and experimental design. Her work spans supply and marketplace optimization, personalized recommendations for global expansion, and productionized models that directly influenced KPIs and automation. Notably, she has applied Bayesian survival modeling and satellite-image ML earlier in her career, reflecting a mix of rigorous statistical thinking and applied engineering. Based in New Jersey, she excels at communicating complex results to cross-functional stakeholders and translating research into scalable product outcomes.
10 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Biostatistics, Master of Science (M.S.) Biostatistics at University of Washington
Bachelor of Science (BS) Applied Mathematics, Bachelor of Science (BS) Applied Mathematics at Stony Brook University
Korean, English