Jeff Reback
Vice President at Continuum Analytics, Inc.
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Reback is a seasoned technology leader with 15 years of experience, currently serving as Vice President at Two Sigma and maintaining senior engineering ties at Continuum Analytics. He blends quantitative finance experience as a former portfolio manager and director with deep hands-on backend development, particularly in Python data tooling. An active open-source contributor, Jeff has made significant fixes and performance improvements to flagship projects like pandas, Dask, Apache Arrow, and the Google BigQuery–pandas connector, often smoothing compatibility across pandas versions. He is skilled at strengthening testing and build infrastructure, upgrading APIs, and optimizing data-frame operations—work that quietly powers reliable analytics at scale. Trained at MIT, he brings a pragmatic mix of research-caliber technical depth and production-grade engineering leadership.
15 years of coding experience
15 years of employment as a software developer
Massachusetts Institute of Technology
Stackoverflow
127,190reputation
22.2mreached
990answers
1question
pandas
top-1%
unix-timestamp
top-1%
pickle
top-5%
dataframe
top-1%
row
top-1%
numpy
top-1%
Github Skills (57)
unit-testing10
row10
google-bigquery10
hdf10
datetime10
iteration10
python10
pytest10
financial-data10
data-set10
testing10
dataframes10
finance10
pandas10
unix-timestamp10
Programming languages (12)
Github contributions (5)
pandas-dev/pandas
Oct 2012 - Apr 2021
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:12 releases, 7641 reviews, 4821 commits in 8 years 7 months
Contributions summary:Jeff Reback primarily contributed to the pandas library by identifying and fixing bugs, as well as adding features. Their contributions involved enhancements to the data structure APIs. They demonstrated proficiency in implementing unit tests to validate the correctness of these changes, as well as fixing documentation issues related to those changes, and improved the performance of existing code in pandas.
pythondatalabeled-datamanipulationdataframes
pydata/pandas-datareader
Oct 2015 - May 2018
Extract data from a wide range of Internet sources into a pandas DataFrame.
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 commits, 43 PRs, 49 pushes in 2 years 7 months
Contributions summary:Jeff contributed to the `pandas-datareader` project by addressing compatibility issues, fixing API integrations, and improving documentation. They replaced the Yahoo iCharts API, implemented multi-stock queries, and added error handling for Yahoo data retrieval. The user also updated the project's version and prepared for release.
pythondatafredsecfinance
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