Chris Comiskey
Senior Data Scientist, Consumer Markets
Oegstgeest, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolChris Comiskey is a PhD-trained statistician and Senior Data Scientist with 9 years of experience applying advanced time series, probabilistic, and anomaly-detection methods to business problems across consumer markets, operations, and finance. Currently at KPN he builds SARIMAX forecasting pipelines, multi-armed bandits, and reinforcement learning agents to optimize customer service, routing, and personalized marketing. His background includes driving €100m+ inventory decisions at adidas via probabilistic demand forecasts and inventing hierarchical sampling and optimal overbuy techniques for eCommerce. Comfortable in production tooling (AWS SageMaker, Dataiku, Docker, Git) and both R and Python ecosystems, he blends rigorous academic methods with pragmatic engineering to deliver operational models. He’s skilled at reframing problems—prioritizing the right question and measurable goal—so models translate directly into business impact. Based in the Netherlands, he pairs deep spatial and time-series research from his PhD with hands-on deployment experience across telecom and retail.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at University of Colorado DenverDoctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Oregon State University
Github Skills (2)
r-package5
heat4
Programming languages (2)
Github contributions (5)
cwcomiskey/Misc
Jan 2018 - Feb 2020
Contributions:274 pushes, 1 branch in 2 years 1 month
cwcomiskey/cwcomiskey.github.io
May 2017 - May 2021
Personal Webpage
Contributions:1 PR, 241 pushes, 1 branch in 4 years
personal-webpagewebpage
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.