Sanjay Jayakumar

About Sanjay Jayakumar

Nine years building the measurement systems and data products that sit between raw data and consequential decisions.At Capital One, that\'s meant building foundational customer data products now used across the entire business, identifying and fixing measurement flaws that changed how product teams track performance, and leading analytics strategy for some of the largest consumer-facing digital products in financial services. The work tends to start where the question isn\'t fully formed yet — defining what to measure before anyone agrees on what to build.Currently Principal Analyst at Capital One, focused on product analytics for a large-scale consumer mobile platform. I partner with product, engineering, and strategy teams on experimentation roadmaps, success metrics, and ML-based personalization initiatives.Previously at Royal Enfield, where I worked on GTM strategy, retail network expansion, and demand forecasting — earlier-stage problems with less data and more ambiguity, which I found equally interesting.The tools are SQL, Python, Tableau, and Databricks. The actual work is closer to the business than to the backend — and that\'s where I want to stay.You can reach me at c••••••••@gmail.com for more details

Experience

1. Principal Analyst

   Capital One

   Jan 2023 — Present

   Built foundational customer data products that consolidated behavioral and transactional signals into customer archetypes — now used as the standard customer dataset across the business and the basis for the company\'s first mobile personalization strategy.Led analytics strategy and a small team for a major ML-based product initiative on Capital One\'s consumer mobile platform — from experiment design through SVP-level presentation and buy-in, delivering significant incremental revenue impact.Identified a structural flaw in how clickthrough rate was being measured across the product. Led the cross-functional effort to fix it — new measurement component now adopted as standard across teams organization-wide.Built the Enterprise Performance Health Review — an executive-facing system that aggregates hundreds of metrics with ML-based anomaly detection, shifting senior leadership\'s business reviews from reactive to proactive.Built a framework to measure customer experience across core app features — metrics identified where users were abandoning high-value tasks, driving measurable improvement in user retention and call center cost reduction.Built QueryGenius, an internal LLM tool using Gemini for SQL analysis and legacy code translation. Won a Capital One enterprise hackathon; adopted across multiple analytics teams.

Education

• University of Cincinnati Carl H. Lindner College of Business

  Master's degree

  2019 — 2020

• College of Engineering, Trivandrum

  Bachelor of Technology - BTech

  2011 — 2015