Summary
Sharvil Turbadkar is a data engineer with eight years of experience and a three-year focus on Big Data stacks (Spark, Python, SQL) and modern data warehousing (Snowflake, Airflow). He has driven high-impact initiatives at Tesla—auditing financials, automating ETL, and applying ML/A/B testing to manufacturing—contributing to multi-million-dollar savings and uncovering billion-dollar discrepancies. At United Airlines he modernized growth analytics with A/B-ready pipelines and a passenger profit score, improving route economics and ROI. Comfortable across analytics, dashboarding (Tableau, Power BI), and production ML, he excels at turning messy operational data into real-time decision systems. Based in Syracuse, he pairs academic training (MS Data Science) with a practical, product-minded approach to reduce costs and eliminate third-party licensing through in-house tooling. His motto—“Torture the data and it will confess”—captures a pragmatic curiosity that surfaces non-obvious insights from complex systems.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Syracuse University
English, Spanish, Hindi