Peter Bull
Principal Data Scientist, Co-founder
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Bull is a Principal Data Scientist and co-founder of DrivenData.org with 12 years of experience applying AI and data science to social-impact challenges from Seattle. He blends hands-on full‑stack development—building Vue.js frontends, Django REST backends, and robust data pipelines—with product-focused leadership, having helped shape DrivenData’s tooling and challenge platforms. A former SDET II at Microsoft, he pairs rigorous engineering practices with research-informed modeling from a computational science master’s at Harvard and a philosophy BA from Yale. Active in open source, he has contributed to well-used projects like cookiecutter-data-science and practical utilities such as watermark, improving packaging, tests, and documentation. Notably, his work spans the full lifecycle from data ingestion and integrity tests to deployable interfaces that make ML work auditable and accessible for non-profit partners.
12 years of coding experience
Master's degree Computational Science, Master's degree Computational Science at Harvard UniversityBA Philosophy, BA Philosophy at Yale University
Stackoverflow
2,493reputation
679kreached
44answers
1question
nltk
top-5%
nlp
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scikit-learn
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python
top-5%
Github Skills (38)
package-management10
python10
data-science10
django10
setuptools10
ipython10
vue10
data-processing10
rest-api10
vue-jsx10
documentation10
jupyter9
back-end-development9
boto9
git9
Programming languages (9)
Github contributions (5)
drivendataorg/cookiecutter-data-science
Nov 2015 - Oct 2022
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 43 reviews, 76 commits in 7 years
Contributions summary:Peter contributed to the project by modifying and adding to the data processing pipeline. This involved creating a script for data ingestion, adding documentation to existing functions, and implementing basic tests to ensure data integrity. Furthermore, the user has shown experience in using cookiecutter templates and setup files for the project.
standardizedpythonsciencedata-scienceproject-structure
drivendataorg/concept-to-clinic
Aug 2017 - Dec 2017
ALCF Concept to Clinic Challenge
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:54 commits, 7 PRs, 41 pushes in 4 months
Contributions summary:Peter contributed to the frontend and backend of the "Concept to Clinic" project. Their work included implementing the frontend user interface using HTML, Vue.js, and integrating with a Django REST API. They also made changes to the Django backend, including model modifications and API enhancements. The user also worked on the documentation, improving the project's structure and contributing to the documentation.
clinic
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