Summary
Jasmine H is a Senior Data Scientist based in the San Francisco Bay Area with 11 years of experience at the intersection of computational social science, NLP, and data engineering. She has driven measurement and experimentation at scale—designing lift tests and causal analyses at Meta and building production-ready pipelines and anomaly detection models for telecom and enterprise customers. Comfortable translating research into product impact, she blends Bayesian simulation, gradient-boosted models, and transformer-based embeddings to inform marketing and policy decisions. A skilled communicator and instructor, she has taught intermediate Python for social science applications and mentored cross-functional teams to turn analytics into actionable recommendations. Notably, her academic work scaled BERT fine-tuning across 1.6M lyrical sentences on a computing cluster, showing rare expertise in both large-scale model training and social-scientific interpretation.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA, Double Major in Strategic Communication & Journalism, Bachelor of Arts - BA, Double Major in Strategic Communication & Journalism at The Ohio State University College of Arts and Sciences
Master's degree, Computational Social Sciences, Master's degree, Computational Social Sciences at University of Chicago