Projects

A list of projects that I have been working on or built but not limited to.

RegimeSense

Adaptive regime-switching trading system that classifies market conditions into 4 states (bull, choppy, high-vol trend, crisis) using a Gaussian Hidden Markov Model trained on 5,032 trading days. Dynamically allocates across a momentum/mean-reversion/trend/defensive strategy pool via HMM posterior probabilities — achieving OOS Sharpe 0.769 vs 0.641 for pure momentum with max drawdown reduced from -33.7% to -25.6%. Live paper trading on Alpaca with automated weekly rebalancing.

Python • HMM • Alpaca • scikit-learn • pandas • GitHub Actions

BayWheels

End-to-End data engineering pipeline that processes and analyzes BayWheels bike sharing data. Built with modern data engineering tools to streamline the process of data ingestion, processing, and analysis.

Flask • Next.js • Tailwindcss • Postgres • Docker • Typescript

Reddit Stock Sentiment Analyzer

Full-stack web app that analyzes sentiment around user-searched stock tickers on Reddit using NLP. Displays sentiment breakdown, top posts, and current market data with a dark finance-themed UI.

Flask • JavaScript • NLP • HTML/CSS • Reddit API • Yahoo Finance API

Market Insights

Full stack web application that provides insights on the latest business, local and custom news with weather updates. Built with Flask, Next.js, Tailwindcss, and PostgreSQL.

Flask • Next.js • Tailwindcss • Postgres • Docker • Typescript

NY Taxi Data Engineering Pipeline

A data engineering pipeline that processes and analyzes New York City taxi data. Built with modern data engineering tools to streamline the process of data ingestion, processing, and analysis.

Docker • Postgres • Terraform • GCP • Mage • Spark

Monte-Scholes Option Pricer

Interactive Streamlit app that compares European option pricing using Monte Carlo simulation and the Black-Scholes formula. Includes GBM-based path simulation, real-time pricing, sensitivity charts, and mathematical documentation.

Streamlit • NumPy • Matplotlib • SciPy • Finance • Monte Carlo

Factor-Based Stock Screener

A dynamic financial web app that filters and ranks S&P 500 stocks based on key factors like valuation, profitability, growth, and risk. Includes real-time scoring, data visualizations, and a savings-based investment allocator.

Streamlit • Pandas • NumPy • Matplotlib • yfinance • Financial Modeling

STA5635 Helper LLM APP

RAG based LLM Helper App for Applied Machine Learning Course - Florida State University. Created using Langchain and OpenAI's API.

Langchain • OpenAI • Pinecone • Cohere • HuggingSpace • Streamlit