Chad Heyne
Software Engineer - Data Infrastructure
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolChad Heyne is a software engineer specializing in data infrastructure with 12 years of experience building analytics-driven systems at Indeed from BI to senior engineering roles. He blends a strong statistical foundation (BS in Statistics) and an MSBA in Finance with practical Python engineering skills to turn messy, large-scale datasets into reliable, production-ready pipelines. At Indeed he progressed from Business Intelligence to Data Engineering and now focuses on infrastructure that powers data products and decision-making. He also contributes to prominent open-source projects such as PyMC, where he helped modernize the codebase for Python 3 compatibility—demonstrating attention to portability and long-term maintainability. Based in Austin, Chad pairs quantitative rigor with pragmatic engineering, comfortable moving between statistical modeling, data cleaning at scale, and backend code improvements.
12 years of coding experience
6 years of employment as a software developer
Master's of Science in Business Administration, Finance, 3.89, Master's of Science in Business Administration, Finance, 3.89 at Penn State UniversityBachelor of Science, Statistics, 3.91, Bachelor of Science, Statistics, 3.91 at University of Central Florida
English
Github Skills (7)
probabilistic-programming10
python10
bayesian-inference10
statistic9
statistics9
mcmc9
numpy8
Programming languages (2)
Github contributions (5)
pymc-devs/pymc
Nov 2013 - Nov 2013
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits in 3 days
Contributions summary:Chad primarily focused on ensuring Python 3 compatibility within the PyMC codebase. Their contributions involved modifying import statements, updating dictionary methods, and adapting code that relied on xrange. They also made changes to various files including `trace.py`, `plots.py`, `nuts.py`, and `stats.py` to address compatibility issues and improve the code's functionality. Furthermore, the user removed `ABCMeta` from specific files.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
chadheyne/datasciencecoursera
May 2015 - May 2015
Contributions:1 push, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.