๐ฆ Bank Loan Portfolio Analysis | Power BI Dashboard Project
Analyzed 38,576 loan records across 50 states to give a bank's lending division a unified view of portfolio health โ something they simply didn't have before.
What the data revealed:
โ
Net-positive portfolio: $435.8M disbursed, $473.1M recovered
โ ๏ธ 13.8% bad loan rate = $28.25M net capital loss
๐ Debt consolidation drives nearly half of all loan applications
โณ 73% of borrowers chose 60-month terms over 36-month
๐ 60%+ of repayments concentrated in just 5 states (CA, NY, FL, TX, NJ)
Tools used: PostgreSQL โ Excel โ Power Query โ Power BI + DAX
Built two interactive dashboards:
โ Summary: KPI cards, good vs. bad loan segmentation, loan status grid
โ Overview: Trends, geographic maps, term/purpose/employment breakdowns
The next phase? Building a predictive risk scoring layer using DTI, interest rate, and employment length to flag at-risk loans before they default.
Open to feedback from data folks in the community ๐
#PowerBI #DataAnalytics #SQL #DAX #BankingAnalytics #PortfolioAnalysis #DataVisualization


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๐ฆ Bank Loan Portfolio Analysis | Power BI Dashboard Project Analyzed 38,576 loan records across 50 states to give a bank's lending division a unified view o...