Jonathan Burley
Data Scientist
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Burley is a product- and strategy-facing Data Scientist with a PhD in computational geophysics and nine years of industry experience driving data-informed decisions from Washington, D.C. He blends research-grade modeling expertise with practical product delivery, translating complex quantitative methods into actionable business strategy. Jonathan has a strong engineering mindset—evidenced by contributions to the widely used pandas library where he modernized code and improved documentation to boost maintainability. Comfortable at the intersection of science, engineering, and product, he excels at refactoring legacy systems and clarifying dependency and installation requirements to smooth adoption. His background suggests a knack for turning domain-specific research into robust, production-ready analytics.
9 years of coding experience
University of Cambridge
Stackoverflow
23reputation
980reached
0answers
1question
Github Skills (9)
pandas10
f-string10
python10
data-analysis10
data-science9
setuptools9
py9
documentation8
r6
Programming languages (3)
Github contributions (5)
pandas-dev/pandas
Dec 2019 - Oct 2022
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 reviews, 4 commits, 5 PRs in 2 years 10 months
Contributions summary:Jonathan primarily focused on refactoring and improving the codebase by converting `.format()` strings to f-strings across multiple files, enhancing code readability. Their contributions also involved documentation updates, specifically addressing version requirements for dependencies within the installation guide. In addition, the user made adjustments to the `setup.py` file, introducing optional dependencies as extras for improved project management. These changes demonstrate a commitment to code modernization, documentation accuracy, and project maintainability.
pythondatalabeled-datamanipulationdataframes
JMBurley/pandas
Dec 2019 - Jun 2024
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:55 pushes, 7 branches in 4 years 6 months
polarspythondatalabeled-datamanipulation
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