Yoonhyung Lee
Data Scientist
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYoonhyung Lee is a data scientist with over five years of applied experience and 11 years in the workforce, blending rigorous statistical training from Seoul National University with practical, production-focused ML solutions. Based in Seoul and currently at Kakao Entertainment, he has driven recommendation and personalization systems across music and digital content—building large-scale clustering, real-time ranking, and song-level tagging models that directly support product features like Melon DJ and KakaoPage curation. Previously at Korea Credit Bureau he automated anomaly detection on personal credit data using Isolation Forests, and his competitive edge was proven by winning the NAVER Data Scientist Competition in 2019 for stock-market modeling. Yoonhyung is known for turning domain-specific insights into measurable business outcomes, especially in recommender systems for webtoons, web novels, and music, and for operationalizing models at scale. An analytical thinker with a statistics MS, he brings both research rigor and hands-on engineering to bridge modeling and deployment.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at 서울대학교 (Seoul National University)
Github Skills (7)
swiftui5
react5
nextjs4
docker4
ios3
typescript3
swift3
Programming languages (1)
Github contributions (5)
Kyoo32/iOS-basic
Mar 2016 - Jun 2016
Contributions:29 commits, 41 pushes, 1 branch in 3 months
Kyoo32/kyoo32.github.com
Jun 2015 - Aug 2021
Contributions:163 pushes, 2 branches in 6 years 2 months
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