Summary
Eunseok Park is a Seoul-based data scientist with eight years of experience building and deploying machine learning systems across insurance and fraud-detection domains. Currently at Woowa Bros., he focuses on ML model development, automation, and optimization, bringing a strong background in computer vision, data mining, and anomaly detection. His tenure at AXA Korea included end-to-end productionization of churn, persistency and fraud models, network-graph systems for fraud analytics, and A/B test design to drive business action. He combines academic rigor—master’s work in Applied Data Science and Statistics and a Carnegie Mellon visiting scholar stint—with practical mentoring and course delivery from earlier consulting roles. Notably, he has experience improving ML pipelines in Java and igraph-based batch systems, reflecting a rare blend of research interests and production engineering.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at 한국외국어대학교
Master's degree, Applied Data Science, Master's degree, Applied Data Science at 성균관대학교
Visiting Scholar, Visiting Scholar at Carnegie Mellon University