Financial RAG, fraud detection, and risk modeling for banking and markets.
5 projects in this domain
Retrieval-augmented AI for financial documents
A financial RAG system that answers questions over filings, reports, and market documents with source-grounded citations, built for the accuracy and traceability finance workflows require.
ML fraud detection on imbalanced transaction data
A machine-learning pipeline that detects fraudulent banking transactions on highly imbalanced data, using resampling and ensemble models to maximize recall without drowning analysts in false positives.
AI-assisted equity analysis
A tool that analyzes stocks by combining market data with AI-generated summaries and signals, turning raw financials into readable insight.
Credit-risk EDA on consumer loans
An exploratory data analysis of Lending Club loan data identifying the driving factors behind loan default, the kind of credit-risk analysis that underpins lending decisions.
Regression modeling for property valuation
A regression model that predicts housing prices from property and market features, covering the full workflow from feature engineering to model evaluation.