Kooha Kwon is a Senior Data Scientist based in San Francisco with five years of experience applying machine learning, causal inference, and experimentation to product and operational problems across healthcare, transportation, and fintech. Transitioning from a mechanical engineering background, she brings hands-on product development and FDA-facing statistical rigor to data science, having led projects from prototype to commercialization. Her recent work includes scaling predictive models, real-time anomaly detection, and onboarding over 100K users for a new social app, plus ML-driven traffic and telematics analyses. Comfortable in both Pythonic modeling and experimental design, she excels at turning noisy sensor and product data into actionable experiments and production-ready models. Colleagues describe her as pragmatic and detail-oriented, blending mechanical intuition with data-first thinking to reduce risk and accelerate product launches.
5 years of coding experience
7 years of employment as a software developer
B.S., Mechanical Engineering, B.S., Mechanical Engineering at University of Southern California
Master's degree, Data Science, Master's degree, Data Science at University of San Francisco Master of Science in Data Science and Artificial Intelligence
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