Seohyun Choi is a data analyst with 8 years’ experience applying machine learning and deep learning to product and credit-risk problems across fintech and banking. At Viva Republica (Toss) she has driven measurable business impact—boosting credit inquiry revenue, BNPL adoption, and MAU through data-driven experiments and models—after optimizing credit policies at Standard Chartered. Her background includes hands-on ML research at Kakao (improving recommender NDCG by ~10%) and internships where she improved predictive F1 scores substantially in banking and logistics contexts. Comfortable bridging analytics and production ML, she blends rigorous feature engineering for time-series and contextual bandit approaches with a product-first mindset. Based in Seoul, she pairs a Business/Data Science degree with practical experience tuning models under real-world constraints to deliver commercial outcomes.
8 years of coding experience
Bachelor's degree, Business, Data Science, Bachelor's degree, Business, Data Science at University of Seoul
Contributions:34 commits, 34 pushes, 1 branch in 1 year 1 month
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