Banking Risk Analysis - Power BI Dashboard

Situation: Took on a banking risk analysis project to show how data can reduce losses from lending, using Python, SQL, and Power BI together.

Task: Clean the client dataset, explore patterns, load it into MySQL, and turn the findings into a clear Power BI dashboard for loans and deposits.

Action: Converted the Excel file to CSV, loaded it into MySQL, pulled it into Python for EDA (distributions, binning, correlation heatmap), then sketched page layouts and built a multi-page Power BI report with slicers and KPI cards.

Result: Delivered a polished dashboard that explains credit risk and deposit behavior at a glance, helping stakeholders spot key cohorts and make faster, data-driven decisions.