Projects

AI-Powered Investment Analyzer

A system that ingests market data + news + sentiment and provides actionable insights on your portfolio. Fully research-backed, yet designed for real users.

AI Portfolio Optimizer

A tool that uses machine learning to rebalance portfolios, run stress scenarios, and minimize risk — built for both retail traders and institutional finance.

Financial Crime Detection Engine using ML

AI agents that handle reporting, document parsing, and routine tasks — freeing human teams to focus on strategy.

AI-Powered Credit Default Risk Model

A model that flags risk or irregularities in real-time, while also providing transparent explanations — helping firms satisfy regulatory demands.

Apple Near-Term Stock Price Prediction using LSTM

This project involves preprocessing and scaling historical market data, constructing time-series sequences, training an LSTM neural network, and visualizing predictive performance.

Default Risk Model

This project implements a machine learning–based default risk model to estimate the probability of borrower default using financial and behavioral features.

Credit Card Fraud Detection using Machine Learning

This project applies machine learning to detect fraudulent credit card transactions using an anonymized real-world dataset.

AI-Driven Portfolio Optimizer with Sentiment Integration

This project extends traditional mean–variance portfolio optimization by incorporating market sentiment into asset allocation decisions.