Kwangchun Lee
Ph.D Candidate
Seoul Incheon Metropolitan Area South Korea
Summary
👤
Senior🎓
Top SchoolKwangchun Lee is a data-driven software engineer and Ph.D. candidate based in Seoul with 11 years of experience bridging academic research and industry practice in software product lines, data mining, and quality measurement. He has led purchasing-data mining and e-bidding initiatives at Hyundai while managing the Vaatz system, and previously built propensity-to-buy models at CIGNA Korea. His publications span quality-attribute embedding, online help systems, consensus protocols, and quantitative conjoint analysis, reflecting a rare mix of applied statistics (MA/BA) and software engineering (MS, Carnegie Mellon). Comfortable with Six Sigma, R/Splus, SAS and Minitab, he combines rigorous empirical methods with practical product delivery in automotive and insurance domains. Notably, he produces both scholarly work and production-ready data science systems, making him effective at turning complex statistical insights into operational business value.
11 years of coding experience
MS, Software Engineering, MS, Software Engineering at Carnegie Mellon UniversityMA, Applied Statistics, MA, Applied Statistics at Yonsei University
Github Skills (148)
knitr10
r10
data-visualisation10
statsmodels9
dplyr9
naver9
rstudio9
sparklyr9
ide9
grammar9
stable9
development-environment9
rmarkdown9
data-visualization8
science8
Programming languages (11)
Github contributions (5)
statkclee/xwMOOC
Jun 2016 - Oct 2020
Contributions:51 commits, 50 pushes, 3 branches in 4 years 4 months
statkclee/ds-authoring
Jul 2016 - Aug 2022
데이터 과학을 위한 저작 도구
Contributions:434 commits, 1 PR, 390 pushes in 6 years 2 months
pythonmachine-learningdata-science
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