Summary
Jeongmin Kwon is an independent data scientist, consultant and data product manager based in Seoul with over a decade of hands-on experience turning messy data into business impact across fintech, media, e-commerce and telecom. He has led data science teams and programs—from setting up data governance and analytics culture to building recommendation, credit scoring and anomaly detection models—at companies including Viva Republica, Woowa Bros., SK planet and startups. As Head of Data Science and an ongoing advisor, he blends technical depth (MS in Industrial Engineering, deep learning nanodegree) with product instincts to design ML engines and data products for clients such as Meatbox Insight Tech. He is also an experienced instructor, mentor and technical writer/translator who brings academic rigor to practical deployments and A/B test design. An uncommon asset is his sustained mix of enterprise and startup experience, enabling him to scale repeatable data practices while still contributing as a hands-on modeler and strategist.
11 years of coding experience
14 years of employment as a software developer
Nanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity
MS, Industrial Engineering, MS, Industrial Engineering at 포항공과대학교
BS, Industrial Enginerring / Computer Science, BS, Industrial Enginerring / Computer Science at 한국과학기술원(KAIST)
coursera
English, Korean