Kerby Shedden
Associate Professor Of Statistics
Ann Arbor, Michigan, United States
Summary
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Rockstar🎓
Top SchoolKerby Shedden is an Associate Professor of Statistics at the University of Michigan with 12 years of professional experience blending academic research and practical software contributions. Based in Ann Arbor, he brings deep expertise in statistical computing and data I/O, evidenced by impactful contributions to the widely used pandas library—particularly improving Stata and SAS file readers and performance of the SAS7BDAT parser. His work bridges rigorous methodological thinking with hands-on back-end development, making him adept at translating file-format specifications into robust, production-ready code. Trained at UCLA, he combines long-term academic commitment with a pragmatic focus on tools that make real-world data analysis more reliable and efficient.
12 years of coding experience
University of California, Los Angeles
Stackoverflow
634reputation
25kreached
9answers
1question
Github Skills (17)
python10
sas10
pandas10
fileio10
file-processing10
file-handling10
file-access10
data-engineering9
data-analysis9
logistic-regression6
csv6
error-handling6
go6
mixed-models6
statsmodels6
Programming languages (5)
Github contributions (5)
pandas-dev/pandas
Feb 2015 - Nov 2016
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:19 commits, 14 PRs, 86 comments in 1 year 9 months
Contributions summary:Kerby focused on enhancing the pandas library's functionality for reading and writing Stata and SAS data files. They implemented incremental reading for Stata files, fixed bugs, and added support for new Stata file versions. Additionally, the user contributed to the SAS7BDAT reader, including performance improvements and bug fixes. Their work involved significant changes to the `pandas/io` modules, demonstrating a strong understanding of data input/output operations and file format specifications.
pythondatalabeled-datamanipulationdataframes
kshedden/goglm
Jan 2017 - Apr 2019
Contributions:72 commits, 71 pushes, 1 branch in 2 years 3 months
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