Ryan Cybulski
Staff Data Scientist
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolRyan Cybulski is a Staff Data Scientist with nine years of experience applying machine learning, time-series forecasting, A/B testing, and statistical methods to retail supply chain and inventory problems. He has led teams and delivered production forecasting and optimization solutions at CVS and Kohl’s, and now applies that domain expertise at Coupang in Seoul. His projects span demand forecasting and inventory allocation to an award-winning IoT deployment that predicted refrigerator failures with XGBoost (AUC 0.96) and produced millions in margin improvement. Trained as an astronomer (PhD), he brings advanced skills in clustering, graph-based spatial analysis, and large-scale data fusion from multi-wavelength surveys—techniques he successfully translated into commercial analytics. Colleagues rely on him for bridging complex data science methods with cross-functional execution across inventory, operations, and IT.
9 years of coding experience
16 years of employment as a software developer
Bachelor’s Degree Astronomy and Astrophysics, Bachelor’s Degree Astronomy and Astrophysics at Penn State UniversityDoctor of Philosophy (Ph.D.) Astronomy, Doctor of Philosophy (Ph.D.) Astronomy at University of Massachusetts Amherst
English, SpanishGithub contributions (5)
jcybulsk/R_mlb
Jan 2017 - Jul 2017
Contributions:8 commits, 7 pushes, 1 branch in 6 months
jcybulsk/astro
Jan 2017 - Jul 2017
Contributions:17 pushes, 1 branch in 6 months
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