At Capital One, I engineered automated loan-default evaluation pipelines using Python and SQL, improving risk-prediction accuracy by 18%.
I also integrated fraud-risk tracking into SAP ERP transaction workflows, mitigating an estimated $3.2M in monthly credit losses.
At Capital One, I automated SQL-based monthly variance analysis and executive reporting, cutting manual workbook reconciliation by 15 hours per reporting cycle. I also built cash-flow sensitivity models that improved capital reserve forecast accuracy by 14%.
At Aspire Technolab, I developed forecasting models and reporting tools for planning and business performance. My work included reducing inventory carrying costs by 20% and creating Tableau and Power BI dashboards that uncovered $420K in operational cost variances.

