Rahul Sangole

Sr Data Science Manager

Cupertino, California, United States
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Summary

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Senior
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Rahul Sangole is a Sr. Data Science Manager based in Cupertino with 11 years of hands-on experience building forecasting and anomaly-detection systems, now leading data science at Apple. He combines a strong engineering background in mechanical and systems modeling with a Northwestern degree in Predictive Analytics and a Six Sigma Black Belt to bridge rigorous statistical methods and production-grade software. Rahul has a track record of productionizing time-series models, R packages and reproducible Docker workflows to inform finance and cloud services decisions at scale. Previously he led analytics teams at Cummins, turning telematics signals into actionable prognostics and operational savings while codifying best practices for exploratory work versus production code. He actively teaches data literacy as a Carpentries instructor, reflecting a commitment to mentorship and reproducible practices that improve team delivery. Less obvious: his early engineering work—finite element models and CFD—gives him a rare ability to translate physical-system intuition into robust data-driven solutions.
code11 years of coding experience
job15 years of employment as a software developer
bookMaster's degree Mechanical Engineering, Master's degree Mechanical Engineering at University of Michigan
bookMaster's degree Predictive Analytics, Master's degree Predictive Analytics at Northwestern University
bookBachelor's Mechanical Engineering, Bachelor's Mechanical Engineering at Savitribai Phule Pune University
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Stats
2,709reputation
641kreached
22answers
15questions
Badges
r
top-5%
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top-1%
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Github Skills (146)

python10
forecast10
r10
statistics10
r-package10
visualization10
forecasting10
try-catch10
capstone9
mlr9
cli9
ropensci9
data-visualization9
multilabel-classification9
ipython9

Programming languages (13)

JavaC++CSSMakefileHTMLJupyter NotebookTypeScriptR

Github contributions (5)

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rsangole/blog

Sep 2017 - Oct 2022

My personal blog documenting some work in R, stats and ML
Contributions:90 commits, 4 PRs, 128 pushes in 5 years 1 month
machine-learningr
Contributions:4 commits, 3 pushes, 1 branch in 2 years 5 months
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