Skipper Seabold - AVP Data Science

Skipper Seabold

AVP Data Science

Nashville-Davidson, Tennessee, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Skipper Seabold is an AVP of Data Science with 23 years of experience building analytics teams and production-grade data tools across healthcare, consulting, and analytics firms. He leads large-scale advanced analytics at HCA Healthcare after directing analytics at Civis Analytics and serving as Director of Advanced Analytics, combining organizational leadership with deep technical execution. A co-creator and co-lead developer of the widely used statsmodels library, he has a strong open-source footprint including substantive contributions to pandas, NumPy, SciPy, IPython and XGBoost that improve data manipulation, statistical modeling, and documentation. His background in economics (PhD ABD, MS Financial Economics) informs pragmatic modeling choices and a focus on interpretability in production ML. Notably, his open-source work spans both algorithmic fixes and documentation/QA, demonstrating an uncommon blend of research, engineering, and communication. Based in Nashville, he pairs academic rigor with hands-on backend and ML engineering to deliver reliable, explainable analytics at scale.

23 years of coding experience

10 years of employment as a software developer

Doctor of Philosophy - (ABD) Economics, Doctor of Philosophy - (ABD) Economics at American University

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (50)

aws-redshift10

data-migration10

algorithms10

xgboost10

scipy10

restructuredtext10

python10

back-end-development10

data-science10

sphinx10

scikit10

data-manipulation10

testing10

pandas10

machine-learning10

Programming languages (16)

C++CScalaGoHTMLJupyter NotebookTypeScriptDockerfile

Github contributions (5)

statsmodels/statsmodels

May 2009 - Apr 2021

Statsmodels: statistical modeling and econometrics in Python

Role in this project:

Data Scientist

Contributions:10 reviews, 2967 commits, 39 PRs in 12 years

Contributions summary:Skipper contributed to bug fixes, enhancements, and test additions within the Statsmodels repository. Specifically, the user made changes to the formula module to handle multiple hypotheses, added tests for OLS formula pass through, and addressed an issue in the documentation. Furthermore, the user implemented fixes to the Poisson and ARMA models, including enhancements to margin effects, the handling of units in a dataset, and error band calculations. The user also added and updated a number of examples to reflect the changes.

forecastingpythonregression-modelsstatsmodelsstatistics

scipy/scipy

Sep 2002 - May 2015

SciPy library main repository

Role in this project:

Back-end Developer

Contributions:35 commits, 1 PR, 16 comments in 12 years 9 months

Contributions summary:Skipper primarily contributed to improving the SciPy library by addressing code quality and functionality issues. Their work included fixing a missing comma in the `optimize` module, correcting documentation, and changing a print warning to a warnings.warn function in `quadpack.py`. Additionally, the user added a QZ decomposition with tests to the `linalg` module. They also removed an outdated comment.

scipypythonscientific-computing

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.

Request Free Trial