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.
🔧 Analyse Loan Data with aim of determining predictability of Loan repayment using Machine Leaning Techniques
Discover Python-Tableau projects that seamlessly combine analytical capabilities with stunning visualizations. Explore integrated Python code for data manipulation, analysis, and transformation, enhancing storytelling with intuitive Tableau visuals.
Credit risk assessment and loan portfolio analytics using Python classification models and automated KPI reporting in Jupyter Notebook
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).
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.
Debt payoff simulator comparing snowball vs avalanche schedules, interest cost, and payoff time.
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