Isaac Slavitt
Co-founder And Principal Data Scientist
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolIsaac Slavitt is a co-founder and Principal Data Scientist with 12+ years blending mathematical modeling, Bayesian methods, and scalable machine learning to turn messy, large-scale data into production-ready solutions. Based in Greater Boston, he co-founded DrivenData to tackle real-world problems at the intersection of data science and social impact while maintaining hands-on leadership in software engineering and modern workflows. His background includes an MS in Computational Science from Harvard and a formative tenure as a U.S. Coast Guard officer, which informs his emphasis on rigorous, auditable solutions and operational reliability. An active open-source contributor, he’s improved foundational data-science project templates and full-stack challenge platforms—work that modernized build processes and documentation to help teams ship reproducible projects faster.
12 years of coding experience
MS, Computational Science and Engineering, MS, Computational Science and Engineering at Harvard UniversityBS, Operations Research, Mathematics, Science, BS, Operations Research, Mathematics, Science at US Coast Guard Academy
Github Skills (26)
python10
data-science10
django10
cookiecutter10
dotenv10
vue10
vue-jsx10
back-end-development9
javascript9
dockers9
webpack9
docker9
webpacker9
front-end-development9
documentation9
Programming languages (7)
Github contributions (5)
drivendataorg/concept-to-clinic
Jul 2017 - Mar 2018
ALCF Concept to Clinic Challenge
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:131 commits, 12 PRs, 61 pushes in 7 months
Contributions summary:Isaac primarily contributed to the frontend and backend of the Concept to Clinic project. Their work included implementing and refining Vue.js components for the user interface. Additionally, the user made changes to the Django backend, addressing URL issues, improving test configurations, and refactoring code. The user also modernized the build process with Webpack and Docker, which improved the testing and build process.
clinic
drivendataorg/cookiecutter-data-science
Oct 2015 - May 2020
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Role in this project:Data Scientist
Data ScientistContributions:2 reviews, 46 commits, 27 PRs in 4 years 7 months
Contributions summary:Isaac contributed to the project by adding and modifying files related to the project's documentation and data processing pipeline. They added a Sphinx documentation template and updated the build process. Further work included implementing .env loading, fixing import statements, and refactoring file paths using `pathlib`. These changes improved the project's structure and maintainability.
standardizedpythonsciencedata-scienceproject-structure
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