Risk Analytics using Python

Loan approval and default prediction using classification models and clustering analysis.

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.

🔧 Analyse Loan Data with aim of determining predictability of Loan repayment using Machine Leaning Techniques

An end-to-end Banking Analytics project that transforms banking data into business insights by analyzing customer behavior, financial performance, branch operations, loan portfolios, deposits, transactions, employee productivity, profitability, and business KPIs using SQL, Python, Excel, and Power BI.

Interactive Power BI dashboard analyzing bank loan performance with KPIs, loan status, borrower demographics, repayment trends, and risk insights through dynamic visualizations for data-driven decision-making.

Credit risk assessment and loan portfolio analytics using Python classification models and automated KPI reporting in Jupyter Notebook

Loan portfolio analytics dashboard using SQL and Power BI to track applications, funded amount, repayments, loan status, and borrower segments.

Loan portfolio, transaction flow & risk analysis using SQL, Power BI, Tableau and Excel

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.

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).

AI-powered Loan Decision & Credit Risk Platform with Explainable AI, Risk Governance, Analytics Dashboard, and PDF Reporting built using Streamlit & Machine Learning.