A complete end-to-end Classical Machine Learning Engineering Project focused on banking fraud detection and financial risk analytics.

Browser tamper detection for hostile environments. Detects and blocks DevTools, automation drivers, extension injection and environment spoofing. Surfaces findings as structured risk signals, not just boolean flags.

Explainable fraud risk-scoring framework built in SQL (BigQuery) on the IEEE-CIS dataset — time-based train/validation split, point-in-time features, percentile-calibrated risk tiers, and out-of-sample validated lift. Includes an interactive Tableau dashboard.

Swasthya AI is a demo AI-powered preventive healthcare platform for continuous monitoring, risk analysis, symptom tracking, and intelligent doctor support.

Explainable fraud risk-scoring framework built in SQL (BigQuery) on the IEEE-CIS dataset — time-based train/validation split, point-in-time features, percentile-calibrated risk tiers, and out-of-sample validated lift. Includes an interactive Tableau dashboard.

Decision-support engine for PQC migration triage, cryptographic inventories, and CBOM evidence