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.
10 years of coding experience
6 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Illinois Institute of Technology
B.Tech Computer Science with specialization in Business Analytics and Optimization, B.Tech Computer Science with specialization in Business Analytics and Optimization at UPES
Contributions:54 pushes, 1 branch in 5 years 2 months
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