At Protiviti, I analyzed and validated data from 500+ U.S. commercial loan files, identifying inconsistencies, risk indicators, and compliance gaps. I also examined audit exceptions to find recurring patterns and root causes.
I designed and maintained Excel and Power BI dashboards to track defect rates, turnaround times, exception categories, and productivity. This work improved reporting efficiency by 30%.
At Finaxar, I analyzed SME loan portfolio data to monitor repayment behavior and risk indicators. I built cash flow forecasting and repayment tracking models in Excel, reducing manual errors by 30%.
On my Loan Risk Assessment & Default Prediction project, I developed a logistic regression model using borrower and repayment data to predict probability of default. I evaluated it with accuracy, precision-recall, and ROC-AUC metrics.
