Christopher Halpert
Data Science Manager
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolChristopher Halpert is a Data Science Manager with 12 years of experience leading analytics and ML teams at Meta, Spotify, and Squarespace, blending product-focused insight with technical delivery. He holds advanced training in data science and computer engineering from Columbia and dual degrees in mathematics/statistics and economics, enabling strong quantitative judgment across business problems. At Spotify he contributed to the popular open-source Chartify library—adding multi-format export and dual Y-axis support—showing hands-on full-stack visualization and dependency management skills beyond pure management. Based in the UK, he excels at turning experimental analyses into production-ready metrics and tools that scale across large user bases. Colleagues describe him as a pragmatic leader who remains code-capable and infrastructure-aware while coaching teams to ship impactful data products.
12 years of coding experience
8 years of employment as a software developer
MS in Data Science, Computer Engineering, MS in Data Science, Computer Engineering at Columbia University in the City of New YorkMathematics and Statistics, Economics, Mathematics and Statistics, Economics at Washington University in St. Louis
Github Skills (8)
visualization10
bokeh10
visualizations10
python10
plot10
data-science10
html8
testing7
Programming languages (3)
Github contributions (5)
spotify/chartify
Sep 2018 - Jun 2020
Python library that makes it easy for data scientists to create charts.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 releases, 45 commits, 65 PRs in 1 year 8 months
Contributions summary:Christopher contributed to the Chartify library by updating the Bokeh version requirement and modifying the README, HISTORY, and `__init__.py` files, indicating involvement in project maintenance and dependency management. They also implemented features for saving charts in different formats (PNG, SVG, HTML), enhancing the library's functionality. The user further introduced and tested the functionality for a second Y-axis, demonstrating development skills in data visualization and charting. They were also involved in setting up the project infrastructure.
python-librarychartsscientistspythondata-science
cphalpert/bikes
Dec 2015 - Dec 2015
Contributions:12 PRs, 28 pushes, 7 branches in 7 days
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