Justin Lee
Senior Data Scientist
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolJustin Lee is a Senior Data Scientist in Dallas with seven years of experience turning econometrics and machine learning into practical business and policy answers, primarily in customer and product analytics. At Drumline he leads end-to-end analytics programs—building forecasting, optimization, geospatial, and ETL pipelines—and productionizes models with PyTorch and MLFlow to drive marketing ROI and strategic planning. He blends academic rigor from research roles at the Federal Reserve and University of Michigan with hands-on engineering in SQL, Spark, Alteryx, Python and Julia, and he builds measurement frameworks from theory to implementation. A prolific learner and casual sports analytics writer, he applies the same empirical toolkit to hockey and Formula One analysis, publishing insights on Medium. Known for recruiting, training, and documenting to scale data teams, he pairs quantitative depth with clear storytelling for non-technical stakeholders.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.) Economics and Statistics, Bachelor of Science (B.S.) Economics and Statistics at University of Michigan
Korean, English
Github Skills (21)
hidden-markov-model10
vector-autoregression9
julia8
bayesian-inference8
smoothing8
visualization7
statistics7
time-series7
machine-learning7
python7
vector5
econometrics5
odbc5
database4
database-driver3
Programming languages (2)
Github contributions (5)
justinjjlee/NHL-Analytics
Jul 2021 - Dec 2022
Data science analyses delving into National Hockey League (NHL) ice hockey statistics
Contributions:72 commits, 13 PRs, 167 pushes in 1 year 4 months
bayesian-inferencebayesian-optimizationhidden-markov-modeljuliajulia-language
justinjjlee/SmoothLocalProjections.jl
May 2020 - Jan 2021
julia implementation of Smooth Local Projections (SLP)
Contributions:1 release, 17 commits, 7 PRs in 8 months
econometricsimpulse-responsejulialocal-projectionsmoothing
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