Summary
Byoung-gug Kwon is a Principal Data Scientist based in Seoul with 15 years of applied statistics and analytics experience and nine years in senior data roles across insurance, healthcare, pharma, and cloud services. He has led AI/ML strategy and model development for major Korean insurers and global healthcare organizations, translating complex predictive models into operational business value and risk solutions. His career blends rigorous academic training in statistics and health administration with hands-on deployments—ranging from fraud and anomaly detection in payments to digital health outcome evaluation in international field settings. He is experienced building and managing cross-functional teams, aligning data engineering and analytics to product and strategic planning for digital health and finance. Notably, his work includes award-winning public health research in Korea and practical machine learning integrations at enterprise scale, demonstrating a rare mix of field research, clinical analytics, and production ML. He brings a pragmatic, outcomes-focused approach to turning messy, large-scale data into measurable business and health improvements.
9 years of coding experience
11 years of employment as a software developer
Master's degree Health/Health Care Administration/Management, Master's degree Health/Health Care Administration/Management at Emory University
Bachelor's degree Economics/ Health Policy&Management, Bachelor's degree Economics/ Health Policy&Management at Yonsei University
Master's degree Mathematics and Statistics, Master's degree Mathematics and Statistics at University of Virginia
English, korean-gangnam style