Aravind Venugopal is a Business Intelligence Engineer in Mountain View with eight years of hands-on experience blending data engineering, analytics, and machine learning to drive product and operational decisions. At Amazon and prior roles including Mu Sigma and FINRA he built scalable ETL pipelines, automated data ingestion for large R&D and retail workloads, and deployed web apps and dashboards that delivered measurable business impact. He combines strong statistical rigor (A/B testing, ARIMA, regression, conjoint analysis) with practical engineering—PySpark, AWS/Azure, Docker, SQL—and has led offshore teams and client-facing projects end-to-end. Notably, he pairs NLP and web-scraping to improve search relevancy and customer insights, and has a knack for turning experimental designs into production-ready KPIs and automation. Always pragmatic, he writes maintainable code with an engineer’s eye for long-term operability.
8 years of coding experience
3 years of employment as a software developer
Kendriya Vidyalaya Sangathan
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at University of California, Davis - Graduate School of Management
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at College of Engineering, Trivandrum
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Aravind Venugopal - Business Intelligence Engineer at Amazon