Carl Vogel
Data Science And Analytics Manager
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolCarl Vogel is a Data Science and Analytics Manager with 14 years of experience helping teams solve high-impact problems across product, marketing, supply chain, and finance. He combines rigorous statistical modeling, causal experimentation, and pragmatic production deployment to turn complex business questions into reliable decision tools. Carl has led centralized data science organizations, designed company-wide experimentation frameworks, and built monitoring and explainability for core predictive models. As a consultant he’s applied LLMs to routing and scheduling and implemented large-scale simulations for policy evaluation, and as an open-source contributor he improved core functionality in the widely used statsmodels library. Based in Austin, he blends academic training in statistics and economics with hands-on engineering and people leadership to deliver measurable business outcomes.
14 years of coding experience
10 years of employment as a software developer
M.A. / A.B.D. Economics, M.A. / A.B.D. Economics at University of TorontoM.A. Statistics, M.A. Statistics at Columbia UniversityB.A. Economics, B.A. Economics at University of MarylandN/A N/A, N/A N/A at Recurse Center
Stackoverflow
45reputation
1kreached
0answers
2questions
Github Skills (12)
statistics10
regression-models10
python10
cython10
data-analysis10
testing9
numpy9
forecast8
forecasting8
econometrics7
clojure6
sas6
Programming languages (6)
Github contributions (5)
statsmodels/statsmodels
May 2012 - May 2012
Statsmodels: statistical modeling and econometrics in Python
Role in this project:
Data Scientist
Data ScientistContributions:7 commits in 1 day
Contributions summary:Carl primarily focused on refactoring and updating the `lowess` function, a core component for locally weighted scatterplot smoothing. This included converting the existing Cython implementation to a more efficient version, along with the updating of imports. They also made code changes related to deprecation warnings and import revisions within the testing suite, implying a role in maintaining the library.
forecastingpythonregression-modelsstatsmodelsstatistics
polynumeral/academia-citations
May 2015 - Jan 2016
Contributions:18 commits, 16 pushes, 1 branch in 8 months
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