Roshen Jegajeevan
Senior Analyst at Capital One · Industrial Engineering (B.S.) · M.S. Computer Science (Georgia Tech)
I'm a data-driven analyst and builder focused on automating analytics, modeling, and decision tools. I work across SQL, Python, and modern data stacks (Snowflake, dbt) to ship production-grade reporting and ML-assisted workflows. Experienced with time-series modeling, Tableau/QuickSight dashboards, and end-to-end ETL on AWS/Redshift. Pursuing an M.S. in Computer Science (ML concentration) at Georgia Tech; previously B.S. in Industrial Engineering. AWS Certified.
Featured Project
AI Backtester
Build and backtest trading strategies—manual or AI-assisted—with ML, technicals, and full portfolio simulation.
Education
Georgia Institute of Technology
Masters in Computer Science (ML concentration)
Cumulative GPA: 3.9/4.0
Atlanta, GA
Dec 2025
Georgia Institute of Technology
Bachelor in Industrial Engineering
Cumulative GPA: 3.7/4.0
Atlanta, GA
May 2023
Work Experience
Capital One
Senior Associate - Dealer Management (Auto Finance)
Atlanta, GA
Aug 2024 – Present
- Created/Currently working on a Overall Auto Finance Reporting Suite in Tableau that has views that cover multiple metrics such as Volume, Losses, Quarterly Process metrics, Quality Bar metrics etc. across different segments
- Executed/Executing end-to-end change management, including testing updates, coordinating with the engineering team to deploy releases, and documenting changes extensively in the Auto Loans policy repository
- Built automated quarterly reporting workflows by utilizing DBT with snowflake and Python for analysis, metric calculations, and visualization (pandas, SQL, matplotlib, gspread, Google Slides API)
- Developed insights from data analysis using Python, SQL, and Excel to assess vulnerable segments, front-end and back-end performance, and certified pre-owned vehicle trends
Capital One
Associate - Credit Card Innovation
Atlanta, GA
Aug 2023 – Aug 2024
- Contributed to a complex repository (SQL, YAML, python~ pandas, numpy, scikit, matplotlib) that generated analytical reports by implementing changes to a time-series model, the execution flow of the process, and other components
- Condensed and presented model-driven insights from the reports to stakeholders, influencing credit card policy decisions, and conducted follow up analytics with Python and Excel
- Initiated the migration of the codebase to a more efficient platform by reformatting code/files and coordinating with technical and non-technical stakeholders
Amazon
Amazon Web Services Analytics Intern
Seattle, WA
May 2022 – Aug 2022
- Utilized data analysis, statistics, and visualization by querying Amazon's internal SQL data warehouses
- Created training metrics and cooperated with different stakeholders to create deliverables on QuickSight
- Worked with Amazon Redshift and different ETL techniques to create a pipeline to analyze and visualize data
Southwest Airlines
Fleet Strategy Analyst Intern
Dallas, TX
Jan 2022 – Apr 2022
- Utilized SQL, Excel, Alteryx and Tableau to query, combine data sources, analyze, and optimize data to improve Southwest's base and maintenance scheduling across all airports and maintenance stations
- Published Large-scale data analysis projects that were important to the technical operations division