Collin Hazlett

Manager, Analytics Engineering at Audible

New York, New York, United States
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Summary

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Collin Hazlett is an Analytics Engineering Manager at Audible with 11 years of experience building data products and ML-driven insights to guide business decisions. He combines a strong statistical foundation (BS in Mathematical Statistics and MSc in Computer Science from Georgia Tech OMSCS) with hands-on engineering—designing a data mart that scaled to 400+ billion rows and creating a globalized metrics system that became an alternative to MicroStrategy. His work spans production ML (SageMaker XGBoost), causal and sequential modeling (Markov chains, contextual bandits), and tooling that automates discovery of high-impact segments and trend drivers. Collin has a proven track record of accelerating decision velocity—evidenced by rapid COVID-era dashboards and modularized ETL that shortened dashboard production time. He’s equally comfortable leading teams and diving into code or experiments, frequently translating research into measurable lift (up to 60% CTR gains in prior roles). Based in New York, he pairs product-focused analytics leadership with a penchant for pragmatic, scalable engineering solutions.
code11 years of coding experience
job4 years of employment as a software developer
bookData Science, Data Science at General Assembly
bookMaster's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
bookMachine Learning Engineer Nanodegree, Artificial Intelligence, Machine Learning Engineer Nanodegree, Artificial Intelligence at Udacity
bookBachelor of Science (BS), Mathematical Statistics and Probability, Bachelor of Science (BS), Mathematical Statistics and Probability at The University of Texas at Austin
languagesEnglish
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Github Skills (3)

trend4
python1
bandit1

Programming languages (1)

Python

Github contributions (5)

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Contributions:90 pushes, 1 branch in 8 months
Contributions:33 commits, 30 pushes, 1 branch in 1 day
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Collin Hazlett - Manager, Analytics Engineering at Audible