Hugh Kelley
Data Scientist
Bennington, Vermont, United States
Summary
👤
Senior🎓
Top SchoolHugh Kelley is a data scientist based in Bennington, Vermont with eight years of experience applying data analysis, software development, and cartography to pedestrian and bicycle safety and urban planning. He combines practical GIS expertise from progressive roles at Toole Design Group with an MS in Smart Cities and Urban Analytics from UCL, bringing modern computing and open-source GIS tools to real-world transportation projects. Hugh contributes to high-profile open-source projects like pandas—improving documentation and internal consistency—reflecting attention to detail and deep familiarity with data tooling. His background in finance and multilingual market research adds a quantitative rigor and cross-cultural communication skill set that informs his technical work.
8 years of coding experience
International Baccalaureate, International Baccalaureate at Albany High SchoolLondon School of Economics and Political ScienceBachelor of Arts (B.A.), Economics, Chinese, Bachelor of Arts (B.A.), Economics, Chinese at Macalester CollegeUniversity College London
Stackoverflow
1,018reputation
120kreached
23answers
65questions
Github Skills (13)
pandas10
python10
documentation10
data-analysis10
data-science9
anaconda6
osmnx6
conda6
postgresql6
postgis6
numpy6
windows-shell6
jupyter6
Programming languages (9)
Github contributions (5)
pandas-dev/pandas
Oct 2019 - Jan 2020
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:
Data Scientist
Data ScientistContributions:8 commits, 16 PRs, 44 comments in 2 months
Contributions summary:Hugh primarily contributed to documentation improvements and formatting within the pandas library. They fixed formatting errors in docstrings for the ExtensionArray, demonstrating an understanding of the library's internal structure and documentation standards. The user also addressed various docstring formatting issues across different modules, including those related to time series data and data manipulation, contributing to improved clarity and usability of the pandas documentation. Furthermore, the user made minor changes to the descriptions of parameters and methods.
pythondatalabeled-datamanipulationdataframes
HughKelley/pandas
Sep 2019 - Jan 2020
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:80 pushes, 20 branches in 3 months
polarspythondatalabeled-datamanipulation
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