Kevin Sheth is a quantitative analytics leader with 11 years of experience applying predictive modeling, ETL automation, and BI to drive measurable business outcomes in financial services and enterprise consulting. At JPMorgan he built scalable pipelines and Python forecasting models across 200M+ transactions, delivered Tableau dashboards used by 100+ stakeholders, and launched a GenAI-powered KPI chatbot that cut ad-hoc requests and accelerated decisions. He combines hands-on skills in SQL, Python, Alteryx and Adobe Analytics with a strategic knack for KPI design and A/B testing, which has translated into time savings, reduced complaints, and improved fraud detection. A Duke MQM graduate, he’s equally comfortable mentoring teams and translating complex data into product and risk mitigation insights—often surfacing revenue or UX opportunities that aren’t obvious from raw metrics alone.
11 years of coding experience
1 year of employment as a software developer
Master Of Quantitative Management: Business Analytics, Strategy Track, Master Of Quantitative Management: Business Analytics, Strategy Track at Duke University - The Fuqua School of Business
High School, High School at Abu Dhabi Indian School
Bachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at National Institute of Technology Karnataka
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