Asish Mahapatra is a Data Scientist based in New York with 11 years of experience applying pragmatic engineering to complex data problems. He blends production-focused analytics with hands-on Python development, contributing bug fixes and performance improvements to the widely used pandas library—addressing edge cases in categorical operations, Excel/ODS reading, CSV BOM handling, and multi-table HTML parsing. A Columbia University alumnus, he brings deep familiarity with data manipulation libraries and real-world ETL quirks that often surface only at scale. Known for improving reliability and performance, he pairs meticulous attention to edge cases with a drive to make data tools more robust for downstream users.
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
Contributions:34 reviews, 6 commits, 15 PRs in 3 years
Contributions summary:Asish primarily contributed to bug fixes and enhancements within the pandas library. They addressed issues related to data manipulation, particularly concerning edge cases in functions like `append`, `replace`, `startswith`, and `endswith`, specifically impacting categorical data. The user also fixed an issue related to the `read_excel` function when handling ODS files and addressed a bug within the CSV reader regarding the BOM character in the header row. Additionally, the user improved the performance of `read_html` function when handling multiple tables.
Contributions:11 commits, 12 pushes, 1 branch in 1 year 9 months
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