Auto Finance · Capital One

Roshen Jegajeevan

Senior Associate, Partnerships. M.S. Computer Science at Georgia Tech, focused on machine learning.

I work on credit policy, decisioning, and the reporting that supports those decisions. That includes policy tests, production models, and automated portfolio views for executive review.

Experience

Capital One

Auto Finance

McLean, VA

Senior Associate, Partnerships

Mar 2026 – Present

  • Led a high-priority, multi-state credit policy expansion test for a strategic lending partner using Python, SQL, and Policy Engine to revise LTV, FE, BE, PTI, payment, and term counter limits, targeting 2.5–3x funded volume growth ahead of a national rollout projected to generate up to ~$100M in incremental NPV and ~$3B in originations.
  • Coordinated the test release across sales, legal, product, operations, and technology, then led post-launch monitoring with executive leaders across applicant mix, approvals, funded volume, credit risk, and profitability.

Senior Associate, Prime Skew

Aug 2025 – Mar 2026

  • Launched a differentiated credit decisioning strategy projected to increase NPV by ~$20M across Prime-Skew dealerships representing 12% of all dealers, by adjusting targets, approval limits, pricing, and counter limits.
  • Productionized an XGBoost model using market and dealer-level attributes to identify rate-insensitive customer segments and apply risk-based pricing, accounting for ~$7M of the projected $20M NPV uplift.

Senior Associate, Dealer Management

Aug 2024 – Aug 2025

  • Built an automated Auto Finance reporting suite using SQL, dbt, and Tableau, covering volume, losses, valuations, and risk metrics used in monthly portfolio strategy and credit policy decisions.
  • Automated quarterly reporting with dbt, SQL, and Python, including Google Sheets and Slides updates, removing days of manual work each quarter.

Associate, Credit Card Innovation

Aug 2023 – Aug 2024

  • Contributed to a production analytics repository in Python, SQL, and YAML that compared expected credit risk with actual portfolio performance, including model changes, bug fixes, and deployment.
  • Presented model-driven insights that informed credit card policy decisions, with follow-up analysis in Python, SQL, and Excel.

Amazon, Southwest Airlines, Warner Bros. Discovery

Business Analyst, Fleet Analyst, and Data Analyst internships

Atlanta, GA

Jan 2022 – Dec 2022

  • Amazon: Built an automated training reporting suite with Redshift and QuickSight to track completion, participation, and operational performance.
  • Southwest Airlines: Analyzed fleet utilization, ticket pricing, and fuel consumption with SQL, Python, and Snowflake to find efficiency and route-profitability opportunities.
  • Warner Bros. Discovery: Built a SQL and Tableau suite for newsletter open rates, click-through, subscriber growth, engagement, and unsubscribes.

Education

Georgia Institute of Technology

M.S. Computer Science, Machine Learning

GPA 3.5 / 4.0

Atlanta, GA

Dec 2026

Georgia Institute of Technology

B.S. Industrial Engineering

GPA 3.7 / 4.0

Atlanta, GA

May 2023

Skills

SQLPythonStatistical AnalysisPredictive ModelingCredit Risk ModelingTableauSnowflakedbtJavaMATLABMachine LearningGitCADETLAWS Certified