Kevin Sheth
Senior Data Analyst @ JPMorganChase | Full Stack AI & Analytics | Duke University
- Role
- Quantitative Analytics Senior Associate at JPMorganChase
- Location
- San Jose, CA, US
- LinkedIn followers
- 500 followers
About Kevin Sheth
Data-Driven Strategist | Predictive Analytics | Business Intelligence I am a…
Experience
Quantitative Analytics Senior Associate
Oct 2022 — Present · New York, NY, US
Established data pipelines from multiple sources and streamlined ETL workflows using Alteryx cutting processing latency by 15% to create Universal Wires Data Asset that was used to track wire related KPIs across multiple domains- Built an internal GenAI-powered chatbot integrated with the universal data asset, enabling product teams to query KPIs, customer trends and metrics in natural language, reducing ad-hoc requests by 20% and improving decision-making speed- Built AI-driven process to train models on real-time data and ingest customer complaints, uncovering key pain points in the wires process, leading to a 35% reduction in complaints- Designed Python-based forecasting models analyzing 200M+ transactions across 10 years, improving anomaly detection accuracy by 12% and strengthening revenue and fraud risk mitigation strategies- Delivered suite of interactive Tableau dashboards used by 100+ stakeholders, reducing 60+ hours/month of manual reporting and enabling real-time KPI tracking such as UI errors, Flow Dropoffs, Volume Growth, Calls/Complaint/Claims Rate, Operational Delays, Time to Complete, Penetration etc- Conducted A/B testing through Adobe Analytics, reducing navigation errors by 25% and improving user engagement- Partnered with product, finance, risk teams to translate customer behavior into insights that informed growth initiatives.
Education
National Institute of Technology Karnataka
Bachelor’s Degree, Information Technology
2012 — 2016
Abu Dhabi Indian School
High School
2000 — 2012
Duke University - The Fuqua School of Business
Master Of Quantitative Management: Business Analytics, Strategy Track
2019 — 2020
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