Arnav Kapoor - Quantitative Researcher

Arnav Kapoor

Quantitative Researcher

New York, New York, United States

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Summary

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Senior

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Top School

Arnav Kapoor is a quantitative researcher at Two Sigma with eight years of applied computer science and machine learning experience, anchored by a PhD from Stanford and an MS from UC Berkeley. He blends academic rigor with industry practice, having held research roles at Google and internships at Microsoft, Amazon, Apple, and Two Sigma before joining full-time. Arnav focuses on building robust models and scalable algorithms for large-scale data analysis and statistical modeling in finance, with hands-on expertise in distributed computing and production-quality code. He is an active contributor to open-source tooling—having improved dateparser’s handling of ambiguous 8-digit inputs and expanded its test coverage—illustrating attention to edge cases and reliability. Based in New York, he pairs continual research engagement and conference collaboration with pragmatic problem-solving that translates novel methods into measurable trading insights.

8 years of coding experience

1 year of employment as a software developer

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Berkeley

Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Southern California

Secondary School, Science, 96%, Secondary School, Science, 96% at The Cathedral and John Connon School

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University

English, Hindi, French, German

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (4)

testing10

pytest10

python10

date-parsing10

Programming languages (3)

HTMLAssemblyPython

Github contributions (5)

scrapinghub/dateparser

Mar 2020 - Mar 2020

python parser for human readable dates

Role in this project:

Backend Developer & QA Engineer

Contributions:2 reviews, 6 commits, 2 PRs in 2 days

Contributions summary:Arnav primarily focused on enhancing the dateparser library's functionality by addressing the parsing of 8-digit numbers as dates. This involved modifying the parsing logic in `dateparser/parser.py` to correctly interpret various date formats. In addition, the user added and expanded tests within `tests/test_parser.py` to ensure accurate parsing behavior and comprehensive test coverage for the newly implemented features.

pythonpython-parserreadablehuman-readabledates

scrapinghub/number-parser

May 2020 - Aug 2020

Contributions:160 commits, 39 PRs, 70 pushes in 3 months

naturalnatural-languageparseparser

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