Summary
Jongik K is a data scientist based in Seoul with 11 years of experience applying statistical modeling, NLP, and time series forecasting to real-world problems across consulting, retail, and marketing. Currently at PTKOREA (Cheil Worldwide), he focuses on Marketing Mix Modeling, Bayesian inference, and convex optimization to drive marketing measurement. His background spans predictive maintenance and anomaly detection projects, Korean news classification, recommendation systems, and building production data pipelines to enable business decisions. Comfortable across Python ML stacks (scikit-learn, TensorFlow/Keras, pandas/numpy), he blends hands-on modeling with pragmatic data engineering to move experiments into operations. An often-overlooked strength is his domain breadth—from tourism studies to wholesale retail platforms—giving him a user-centric perspective on analytics and product impact.
11 years of coding experience
관광문화대학, 관광경영학, 관광문화대학, 관광경영학 at 경기대학교