loan-analytics

Risk Analytics using Python

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

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

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.

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

ML-first loan performance intelligence: data profiling, purged time-aware prediction, competing-risk survival, hybrid anomaly detection, macro scenario stress, SHAP explainability, and a guarded LLM copilot that never predicts. Reproducible pipeline + Streamlit dashboard. Intain Campus FinTech Challenge 2026 (AI Track).

Debt payoff simulator comparing snowball vs avalanche schedules, interest cost, and payoff time.

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

Banking analytics project using PostgreSQL to analyze customer demographics, loan portfolios, borrowing behavior, loan applications, payment patterns, delinquency, and risk-oriented exposure. Features advanced SQL analytics with JOINs, CTEs, subqueries, CASE, aggregations, and window functions, supported by dashboard-ready datasets.

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.

Built an end-to-end Bank Loan Analytics Dashboard using Excel, SQL, Tableau, and Power BI to analyze loan applications, customer demographics, credit risk, branch performance, and loan approval trends. The project provides interactive dashboards and KPI reports that help monitor lending performance and support data-driven business decisions.

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.

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.

Banking loan risk analytics using Excel, PostgreSQL, Python and Power BI

Aegis Ledger — governed portfolio risk evidence for asset-based lending.

Risk Analytics using Python

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

Financial risk analytics solution using MSSQL and Power BI with advanced DAX modeling, time intelligence, and credit risk segmentation (255K+ records).