Mark Labovitz
Data Science Faculty
City of Superior, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolMark Labovitz is a data science faculty and seasoned statistician with 11+ years applying predictive modeling, NLP, and machine-statistical learning across industries from finance and healthcare to telecommunications and government. Based at UC Berkeley, he combines a deep academic foundation (PhD and multiple advanced degrees) with extensive consulting experience, helping organizations evaluate, outsource, or build in-house data science capabilities. He is skilled in non-parametric and extreme-value modeling, econometrics, decision-modeling, and large-scale analysis using open-source tools—especially R. Known for translating methodological rigor into actionable business insights, he often serves as an independent reviewer of models and analytical programs. A practical advisor as well as a researcher, he helps reduce uncertainty around data science adoption and rapidly generate measurable success stories for clients.
11 years of coding experience
University of WashingtonPhD, PhD at Penn State UniversityApSc, ApSc at The George Washington UniversityPhD, PhD at University of Colorado DenverMBA, MBA at University of Pennsylvania - The Wharton SchoolMS, MS at Regis University
Github Skills (3)
react6
css6
javascript5
Programming languages (1)
Github contributions (5)
mllabovitz/MachineLearningAssign1
Sep 2017 - Sep 2017
Contributions:2 pushes, 1 branch in 1 day
mllabovitz/PracticalMachineLearning
Jan 2015 - Jan 2015
Contributions:2 pushes, 1 branch in 1 day
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