Rahul Nair

Sr. Analytics Engineer at Fetch

Chicago, Illinois, United States
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Summary

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Senior
🎓
Top School
Rahul Nair is a Sr. Analytics Engineer based in Chicago with a decade of hands-on experience turning complex datasets into business impact across fintech, logistics, and political campaigns. He combines strong SQL, Python, and cloud skills (AWS, GCS, Redshift) with analytics engineering practices (dbt, unit testing) to cut reporting time and automate critical workflows. Rahul has delivered measurable results—from a 25% reduction in reporting time and a 15% improvement in onboarding drop-off to an 87% recall fraud detection model—while building dashboards and ML models that drive stakeholder decisions. He’s comfortable bridging product, data science, and engineering teams and has volunteered analytics expertise for civic work, including voter-targeting and representation dashboards. Notably, he has operationalized data pipelines and productionized models at scale, and often pairs rapid prototyping with production-grade ETL and alerting.
code11 years of coding experience
job6 years of employment as a software developer
bookMaster's degree Data Science, Master's degree Data Science at Illinois Institute of Technology
bookB.Tech Computer Science with specialization in Business Analytics and Optimization, B.Tech Computer Science with specialization in Business Analytics and Optimization at UPES
languagesEnglish, Malayalam, Hindi
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Github Skills (34)

algorithm10
python10
algorithms9
sorting-algorithms8
science8
octave8
nodejs7
computer-algebra7
recommendation-system7
java7
computer-algebra-system7
machine-learning7
gleam7
coder7
racket7

Programming languages (5)

JavaCJupyter NotebookRubyPython

Github contributions (5)

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Building a Recommendation System for customer using Yelp dataset of restaurants.
Contributions:57 commits, 8 PRs, 45 pushes in 4 months
recommendation-systemyelp-datasetrestaurant-recommendationmachine-learning
Contributions:54 pushes, 1 branch in 5 years 2 months
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