Justin Lee
Senior Product Analyst at Coupang
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJustin Lee is a Senior Product Analyst and data scientist with a decade of experience applying statistical modeling, machine learning, and NLP across fintech, e-commerce, and consulting. Currently at Coupang, he drives product analytics for delivery and merchant experiences while serving on hiring and data logging committees, blending hands-on modeling with product-facing decision support. His background includes building wavelet variance R packages and interactive R Shiny tools during academic research, reflecting a strong foundation in time series, signal processing, and reproducible open-source work. Previously he delivered AI and forecasting solutions at Deloitte and NH Investment & Securities, and designed CRM analytics for restaurant clients that translated into operational savings. Comfortable moving between research-grade code (Rcpp) and production analytics, he brings both academic rigor and pragmatic product impact to solve real-world problems in Seoul.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Statistics, 3.83, Master of Science - MS, Statistics, 3.83 at Penn State UniversityUniversity of Illinois Urbana-Champaign
English, Korean
Github Skills (22)
simulation10
r-package10
rcpparmadillo10
signal-processing10
r10
time-series10
wavelet10
rstudio10
covariance10
rcpp10
statistics9
inference8
data-science8
github7
pyspark5
Programming languages (3)
Github contributions (5)
SMAC-Group/ds
Jul 2017 - Jan 2018
:notebook: This book is currently under development and has been designed as a support for students who are following (or are interested in) courses that provide the basic knowledge to master "statistical programming" with R. Compiled textbook:
Contributions:140 commits, 70 pushes, 4 branches in 6 months
rdata-sciencestatisticsrstudio
SMAC-Group/wv
Apr 2017 - Nov 2017
:alarm_clock: This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual analysis and assess the properties of the underlying time series.
Contributions:226 commits, 152 pushes, 2 comments in 6 months
covarianceinferencerr-packagesignal-processing
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