Summary
Hong Kim is a data scientist with 12 years of experience applying optimization and statistical modeling to consumer electronics and financial domains, currently building user-behavior and device-preference models at Samsung Electronics. He holds a Ph.D. from the University of Michigan where he developed multi-level, multi-objective numerical optimization algorithms and practical Python/MATLAB toolchains. Hong combines deep theoretical training in applied mathematics and naval architecture with hands-on production ML: feature engineering libraries, predictive models, and data visualizations used for product and sales decision-making. Earlier roles include optimization work at NASA and predictive-model development for financial clients, reflecting a knack for turning complex simulation and research into actionable insights. He also brings leadership and process-improvement experience from managing a 20-person multimedia team, where he cut production effort by 20% through new workflows and training.
12 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Naval Architecture and Marine Engineering, Bachelor's Degree, Naval Architecture and Marine Engineering at University of Michigan
English, Korean, Chinese, Spanish