Roy Smart
Data Scientist
Bozeman, Montana, United States
Summary
🤩
Rockstar🎓
Top SchoolRoy Smart is a data scientist with 12 years of experience who applies a physicist’s rigor to real-world data problems from Bozeman, Montana. Trained through a BS, MS, and PhD in Physics at Montana State University, he transitioned academic expertise in EUV snapshot imaging spectroscopy of the solar transition region into production analytics and modeling at ibble. Roy combines deep numerical and unit-aware computing skills—demonstrated by meaningful contributions to the widely used astropy library, including unit handling and time-mean implementations—with practical data science workflows. He excels at bridging domain-specific scientific computing and backend engineering, making complex temporal and unit-sensitive calculations robust in applied settings. Colleagues rely on him for careful problem decomposition, reproducible code, and thoughtful integration of research-grade algorithms into products. Outside typical data-science profiles, he brings specialized astrophysics insight that helps tackle niche measurement and calibration challenges.
12 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Montana State University-Bozeman
Stackoverflow
684reputation
9kreached
31answers
8questions
Github Skills (21)
set-operations10
python10
operation10
array-merge10
numpy10
astropy10
array-comparison10
array-iterator10
units-of-measurement10
testing9
pytest9
get-time9
timeago9
timespan9
timed9
Programming languages (3)
Github contributions (5)
astropy/astropy
May 2021 - Dec 2022
Astronomy and astrophysics core library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 reviews, 7 commits, 14 PRs in 1 year 7 months
Contributions summary:Roy primarily contributed to the `astropy/astropy` repository, an astronomy and astrophysics library, by implementing and enhancing features related to unit handling and array methods. They added the milli- prefix to the Angstrom unit, modified Quantity methods with the 'where' keyword, and implemented the `mean()` method for the `Time` class. These changes involved modifying core functionality related to unit management, array operations, and time calculations within the astropy library.
astrologypythonscienceastrophysicsastrodynamics
Kankelborg-Group/kgpy
Jun 2018 - Nov 2022
Contributions:1745 commits, 293 pushes, 1 branch in 4 years 5 months
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