Michael Cahana

Freelance Technologist

New York, New York, United States
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Summary

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Senior
🎓
Top School
Michael Cahana is a freelance technologist based in New York with eight years of experience blending data science, product thinking, and front-end development to build data-driven visual journalism and analytics platforms. He previously led experimentation and monetization research at Quora—including work on a subscription system for Poe—and has a strong research background evaluating environmental and energy policies at the University of Chicago and Northwestern. Comfortable from data pipelines and causal inference to polished client-facing front ends, he ships end-to-end solutions that connect rigorous analysis to compelling user experiences. After a year teaching at a preschool, he deliberately taught himself front-end development and pivoted to full-time freelance work, demonstrating a hands-on, self-directed approach to skill development. He brings an unusual mix of applied economics, machine learning, and design sensibility, making complex datasets accessible and actionable for both civic partners and commercial clients.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor’s Degree Economics Computer Science Environmental Policy, Bachelor’s Degree Economics Computer Science Environmental Policy at Northwestern University
bookBachelor’s Degree, Bachelor’s Degree at NYU Stern School of Business
languagesEnglish, Hebrew, Spanish
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Github Skills (14)

ml-project10
corpus9
machine-learning7
matching7
api6
linear-regression5
dashboard4
computation4
python4
r-package3
lfe3
r2
cran2
latex2

Programming languages (3)

RJavaScriptHTML

Github contributions (5)

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m-cahana/rapcast

May 2018 - Oct 2018

ML project that predicts rappers' hometowns based on their lyric corpus
Contributions:38 commits, 3 PRs, 28 pushes in 5 months
ml-projectcorpuslyricmachine-learning
jdk27/rapcast

May 2018 - May 2018

Contributions:12 commits, 15 pushes in 7 days
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Michael Cahana - Freelance Technologist