Rethink Secure Score: risk-based scoring across Defender XDR, Entra, AD, Azure, ExposureGraph, and Shodan — weighted by consequence, Tier 0–3 criticality, and risk factors. Fix what attackers reach for first. Asset profiling, ready-to-use reports, executive summary. Zero footprint, MVP-built, free.

A data science project for detecting fraud in mobile money transactions using the PaySim dataset.

Loan default risk analysis using Power BI. Identifies high-risk borrower segments by credit score, DTI, and loan characteristics.

Performed end-to-end loan portfolio analysis by designing and relational modeling loan, customer, payment, deposit, and branch datasets in SQL, structuring data to support advanced analytics and reporting.

SQL-powered analysis of 25,000+ Indian credit card transactions to uncover regional spending patterns, growth opportunities, and risk indicators.

Phishing Email Detection & Security Awareness Report – Future Interns Task 02

End-to-end machine learning pipeline for detecting credit card fraud using Azure Databricks, PySpark, MLlib, and MLflow automation.