๐Ÿฆ Bank Loan Portfolio Analysis by Manigandan Acharya๐Ÿฆ Bank Loan Portfolio Analysis by Manigandan Acharya

๐Ÿฆ Bank Loan Portfolio Analysis

Portfolio project
Manigandan Acharya
๐Ÿฆ 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: โœ… Net-positive portfolio: $435.8M disbursed, $473.1M recovered โš ๏ธ 13.8% bad loan rate = $28.25M net capital loss ๐Ÿ“Š Debt consolidation drives nearly half of all loan applications โณ 73% of borrowers chose 60-month terms over 36-month ๐Ÿ“ 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 ๐Ÿ‘‡
#PowerBI #DataAnalytics #SQL #DAX #BankingAnalytics #PortfolioAnalysis #DataVisualization

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๐Ÿฆ 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...

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