Michael Nestel
Generative AI Engineer
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolMichael Nestel is a Senior Analytics Engineer with nine years of experience applying statistical modeling, experimentation, and machine learning across finance, media, and music tech. He progressed from statistics roles at ESPN and JPMorgan to influential data science positions at Spotify and leadership as Head of Data at MusiCapital, now focusing on generative AI and analytics engineering. Comfortable in cloud-native environments (GCP, AWS), he blends rigorous mathematical training from Rutgers with production-grade engineering to deliver measurable product impact. Colleagues know him for translating complex experiments into actionable insights and for bridging research-style modeling with scalable data infrastructure.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Mathematics and Statistics, Bachelor’s Degree Mathematics and Statistics at Rutgers University
Github Skills (22)
sports-data10
historical10
espn10
python8
statistics8
spotify-api8
image-recognition7
spotify7
keras6
keras-tensorflow6
google-cloud-platform6
vertex6
nodejs5
gcp5
deep-learning3
Programming languages (4)
Github contributions (5)
meirelon/baseball-season-simulation
Mar 2019 - Jul 2022
Contributions:30 commits, 28 pushes, 1 branch in 3 years 4 months
meirelon/nba-optimize
Oct 2017 - Jun 2022
Contributions:1 PR, 157 pushes, 1 branch in 4 years 9 months
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