Summary
Gaurika Tyagi is a Senior Manager of Data Science in San Francisco with over a decade of healthcare analytics experience leading ML scientists and data scientists to deliver production AI solutions. She has driven measurable business impact—architecting propensity, uplift, and multi-touch attribution models that increased engagement, cut campaign spend by 60%, and generated millions in incremental ARR—while championing scalable tooling and dashboard-driven decisioning. Comfortable translating technical complexity for executives, she has deployed 30+ ML models across personalization, forecasting, and unit-economics use cases and cut project cycle times through shared libraries and process improvements. Her background spans startups to enterprise health tech, with hands-on work in survival and NLP models, spatial clustering, and ensemble GBMs that produced double-digit lifts in targeted cohorts. A pragmatic leader and mentor, she pairs a Health Informatics master’s and a Mini-MBA with a track record of turning analytic insights into operational playbooks.
10 years of coding experience
8 years of employment as a software developer
Bachelor's Degree B.Tech in Information Technology, Bachelor's Degree B.Tech in Information Technology at GGSIPU
The University of Arizona
Master’s Degree Health Informatics, Master’s Degree Health Informatics at University of San Francisco
English, Hindi