Casey Bates

Founder CTO at Thinkfox.ai

Boulder, Colorado, United States
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Summary

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Casey Bates is a founder and CTO based in Boulder with eight years focused on applying AI to help small businesses and educators turn complex problems into practical products. He founded Thinkfox.ai to deliver AI productivity consulting, RAG-enabled prototypes, and curriculum-driven training, combining hands-on model work with instructional design. Previously he led technical content and AI strategy at Dataquest, where he shaped course development processes and quality assurance for interactive data science education. With roots in environmental science and a long history of technical training and consulting, he blends domain empathy with reproducible data-science practice (notably contributing ML solution notebooks on GitHub). Comfortable bridging strategy and implementation, he focuses on building value-driven AI that respects client needs and operational constraints.
code7 years of coding experience
job20 years of employment as a software developer
bookGraduate Studies, Environmental Science, Graduate Studies, Environmental Science at University of Washington
bookCertificate, Sustainable Business, Certificate, Sustainable Business at Pinchot University
bookHarvardX - Data Science Professional Certificate Program, HarvardX - Data Science Professional Certificate Program at edX
bookData Science with R, Data Science with R at DataCamp
bookLiberal Arts and Sciences/Liberal Studies, 4.0, Liberal Arts and Sciences/Liberal Studies, 4.0 at Colorado Mountain College
bookData Scientist in Python, Data Scientist in Python at Dataquest.io
bookBA, Honors in Geography, BA, Honors in Geography at University of Colorado Boulder
languagesEnglish
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Stackoverflow

Stats
1reputation
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0questions
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Github Skills (7)

machine-learning10
jupyter-notebook10
k-nearest-neighbours10
python10
data-analysis10
scikit-learn9
scikit9

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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dataquestio/solutions

Aug 2019 - Oct 2022

Solutions for projects.
Role in this project:
userData Scientist
Contributions:13 reviews, 58 commits, 50 PRs in 3 years 2 months
Contributions summary:Casey added and updated solution files for a course on Introduction to Supervised Machine Learning in Python and for a project on predicting heart disease. They modified several notebooks, including Mission201Solution.ipynb, which suggests work related to data analysis and model building. The user re-ran the solutions with Python 3.8.
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