Ben Ogorek
Data Science Contractor
Cary, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolBen Ogorek is a data scientist and statistician with over a decade of experience building predictive modeling infrastructure for mid-to-large organizations, including roles at Google and as a contractor for Facebook. He has led transformative projects—migrating legacy SAS models to Spark, directing six-figure marketing spend modeling, and building internal forecasting platforms that blend experimental and metric data. An active open-source contributor, he has fixed core issues in Facebook Prophet and maintains practical R projects like a terminal datascroller and an R typing tutor, reflecting a fondness for tooling and reproducible workflows. Ben publishes technical writing on Kalman filters and pragmatic engineering, and he collaborates with academic researchers on applied models such as the fitness–fatigue review. Based in Cary, NC, he combines deep statistical training (PhD coursework in statistics) with hands-on engineering to translate complex modeling into production-ready systems.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at North Carolina State University
Stackoverflow
557reputation
66kreached
12answers
12questions
Github Skills (14)
forecasting10
pandas10
forecast10
python10
testing9
r8
numpy8
git6
yum6
wordpress6
centos6
vim6
linux6
browser-cache6
Programming languages (16)
Github contributions (5)
facebook/prophet
Nov 2019 - Jan 2020
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Role in this project:
Data Scientist
Data ScientistContributions:6 commits, 2 PRs, 8 comments in 2 months
Contributions summary:Ben primarily contributed to the `facebook/prophet` repository by fixing bugs and improving the code style. Their work involved resolving syntax errors, modifying string handling, and correcting test cases within the Python codebase. This included making changes to the `forecaster.py` file, which is the core of the Prophet model, indicating a focus on refining the model's functionality and ensuring its stability. The user also updated string formatting for Python 2 compatibility, suggesting a focus on code maintainability and broader support.
forecastingpythontime-series-analysisforecasting-modelsforecasts
baogorek/typingtutor
Apr 2017 - Feb 2020
Contributions:91 pushes, 1 branch, 6 comments in 2 years 10 months
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