Sakshi Gupte

Data Analyst @Bank of America

US

Built and evaluated multiple machine learning models on LendingClub data; the Random Forest classifier outperformed others with 85% accuracy in detecting high-risk loan defaults. • Streamlined credit risk reporting by automating workflows in Python and SQL, cutting down manual effort and ensuring faster report delivery. • Built dynamic Power BI dashboards to present key risk indicators like DTI ratios, credit score bands, and income ranges for better stakeholder insights. • Created robust feature pipelines with techniques like recursive feature elimination and SHAP to boost explainability and meet compliance standards. • Worked closely with compliance and finance teams to document model workflows and dashboards, ensuring audit- readiness and transparency. • Set up model monitoring processes using statistical checks to detect drift and track long-term performance trends post-deployment.