Kevin Minkus
Director, Football Analytics at Chicago Fire FC
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolKevin Minkus is a Director of Football Analytics with 11 years of experience translating data into competitive advantage for sports and commerce organizations. Based in Chicago, he currently leads analytics for Chicago Fire FC, applying rigorous statistical and machine learning methods developed across roles at Kibo Commerce, Monetate, and Allstate. Trained in mathematics and economics at the University of Pittsburgh, Kevin blends quantitative modeling, product-minded experimentation, and team leadership to drive actionable insights for player performance and club decision-making. His background moving from actuarial-style quantitative work to consumer analytics and now elite sports analytics gives him a rare cross-industry perspective on data pipelines, A/B testing, and causal inference. Colleagues know him for turning complex datasets into clear strategic recommendations that influence roster and match strategy.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science, Mathematics, Economics, Bachelor of Science, Mathematics, Economics at University of Pittsburgh
Stackoverflow
1reputation
0reached
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Github Skills (2)
predict2
machine-learning1
Programming languages (3)
Github contributions (5)
kcm30/mls-massey
Aug 2016 - Aug 2016
Contributions:23 commits, 21 pushes, 1 branch in 5 days
kcm30/scikit-optimize
Oct 2018 - Nov 2018
Sequential model-based optimization with a `scipy.optimize` interface
Contributions:23 PRs, 12 pushes, 21 branches in 1 month
model-basedpythonoptimizationmachine-learningmulti-objective-optimization
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