Ryan Holbrook
Data Scientist
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Holbrook is a data scientist and AI educator with seven years of experience building ML content and tooling at Kaggle and developer-facing roles at Google. He authors popular Kaggle Learn courses (Intro to Deep Learning, Computer Vision, Feature Engineering) and contributes back-end lessons and tested notebooks to the widely used learntools repository. Based in New York, he blends competition-grade modeling experience with pedagogy—translating complex deep learning concepts into step-by-step, production-minded tutorials. With a strong mathematics background (BS/MS) and a decade of lecturing experience, he excels at developer advocacy and is open to new opportunities around June.
7 years of coding experience
Bachelor's degree, Mathematics and Cognitive Science, Bachelor's degree, Mathematics and Cognitive Science at University of Oklahoma
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
user-manual10
keras10
machine-learning10
deep-learning10
tensorflow10
learn-ruby-on-rails10
basics10
Programming languages (6)
Github contributions (5)
Kaggle/learntools
Apr 2020 - Jan 2023
Tools and tests used in Kaggle Learn exercises
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 558 commits, 52 PRs in 2 years 9 months
Contributions summary:Ryan contributed to tutorial development within the Kaggle Learn platform, adding new notebook tutorials and content. The contributions focused on creating step-by-step lessons on deep learning concepts. The user added content, illustrations, and code to explain the concepts.
kagglepythonmachine-learning
ryanholbrook/decision-boundaries-animations
Jan 2020 - Jan 2020
Contributions:8 commits, 6 pushes, 1 branch in 11 days
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