Risk Analytics using Python
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Updated
Aug 20, 2023 - Jupyter Notebook
Risk Analytics using Python
Loan approval and default prediction using classification models and clustering analysis.
Loan portfolio analytics dashboard using SQL and Power BI to track applications, funded amount, repayments, loan status, and borrower segments.
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Credit risk assessment and loan portfolio analytics using Python classification models and automated KPI reporting in Jupyter Notebook
Loan portfolio, transaction flow & risk analysis using SQL, Power BI, Tableau and Excel
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Personal-loan credit-risk & unit-economics platform: vintage delinquency curves, expected-loss modeling, and an interactive approval-threshold scenario simulator. Built with dbt, DuckDB, Python, and Streamlit.
Risk Analytics using Python
Financial risk analytics solution using MSSQL and Power BI with advanced DAX modeling, time intelligence, and credit risk segmentation (255K+ records).
Debt payoff simulator comparing snowball vs avalanche schedules, interest cost, and payoff time.
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