Chris Haid
Vice President Of Data, Analytics, And Machine Learning
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolChris Haid is a data and analytics executive with 13 years of experience building high-impact research, analytics, and ML organizations in K-12 education and health sectors, now serving as Vice President of Data, Analytics, and Machine Learning at MJH Life Sciences. He has led large-scale data modernizations (Snowflake migrations of thousands of tables), launched MLOps and CI/CD toolchains, and delivered production enrollment and forecasting platforms that materially improved operational and financial decisions. Chris combines rigorous causal inference and evaluation methods with pragmatic predictive modeling and product management, splitting teams into Research & Evaluation and Data Science & Analytics to maximize both credibility and deployment. He has a track record of scaling teams and culture—high retention, NPS >90 for analytics services, and an internal R package toolkit to standardize analysis and reporting. An academic by training who studied political science at the University of Chicago, he also contributes to open-source data tools (improving a widely used R crosstab function) and brings uncommon fluency across policy, research design, and production ML.
13 years of coding experience
22 years of employment as a software developer
ABD Poltical Science, ABD Poltical Science at University of ChicagoBA Economics, BA Economics at William & Mary
Stackoverflow
26reputation
792reached
1answer
0questions
Github Skills (8)
data-cleaning10
tidyverse10
r10
data-science9
data-analysis9
testing8
text-formatting6
graphic6
Programming languages (6)
Github contributions (5)
sfirke/janitor
Jul 2016 - Jul 2016
simple tools for data cleaning in R
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 4 PRs, 13 comments in 5 days
Contributions summary:Chris focused on implementing and improving the `crosstab` function, a key tool for data cleaning and analysis within the repository. They added new functionality, specifically the ability to apply the function to dataframes, made tests more robust, and incorporated pipelining capabilities. Additionally, the user updated the documentation and ensured the codebase adhered to best practices by passing R CMD Check. This suggests a focus on usability and function improvement.
spsstabulationsdata-analysistidyverser-package
idea-analytics/r_and_a_manual
Oct 2020 - Dec 2022
R and A Bookdown manual
Contributions:289 commits, 95 PRs, 326 pushes in 2 years 2 months
manualbookdownrstats
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.