Chester Ismay
Greater Phoenix Area United States
Summary
🤩
Rockstar🎓
Top SchoolChester Ismay is an experienced statistician and AI/data science consultant with 11+ years helping organizations adopt reproducible analytics, build ML models, and scale data teams using Python and R. He designs and delivers custom training for technical and non-technical audiences, serves fractional leadership roles, and crafts maintainable pipelines and Shiny apps so clients can keep running them after he leaves. Co-author of the widely used textbook Statistical Inference via Data Science (ModernDive) and maintainer of practical open-source tools like thesisdown, he blends textbook rigor with production-focused engineering. His background spans academia, edtech, and enterprise training—evidenced by roles at Flatiron, DataRobot, DataCamp, and Portland State—and he often advises on responsible AI strategy and team development. Based in Greater Phoenix with a Ph.D. in Statistics, he accepts select part-time consulting and fractional engagements for high-impact projects.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Arizona State UniversityBachelor of Science (B.S.), Computational and Applied Mathematics, Bachelor of Science (B.S.), Computational and Applied Mathematics at South Dakota MinesMaster of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at Northern Arizona University
German, English, Spanish, sql, r, python
Github Skills (8)
rmarkdown10
git10
latex10
deploying10
bookdown10
build-automation10
r10
travis-ci9
Programming languages (12)
Github contributions (5)
ismayc/thesisdown
Aug 2016 - Dec 2022
An updated R Markdown thesis template using the bookdown package
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 18 reviews, 126 commits in 6 years 4 months
Contributions summary:Chester primarily focused on enhancing the thesisdown package, adapting it for various output formats including PDF, gitbook, Word, and ePub, to create a more versatile thesis template. They integrated new features like table of contents and download options within the gitbook output. Additionally, the user updated documentation and made edits to the underlying LaTeX template to improve appearance and functionality, as well as made changes to the website build process.
bookdownthesis-templateknitrupdatedr-markdown
moderndive/ModernDive_book
Aug 2016 - Dec 2022
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:8 releases, 97 reviews, 805 commits in 6 years 4 months
Contributions summary:Chester primarily focused on the project's build infrastructure, making modifications to the deployment script and adding build steps to the book's build process. They fixed an issue related to a Travis CI overwrite. The user also updated the build process to generate R files. Further work involved minor adjustments to the project's .Rproj file and the addition of images and links.
bootstrap-methodinferregression-modelspermutation-testtidyverse
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