Automate investment research with AI that searches sources, writes reports, scores gaps, and refines answers on a loop

Analyze and transform live crypto price data using a multi-layer pipeline with PySpark, Delta Lake, and Databricks for reliable analytics.

Replicate the NASDAQ-100 with a 25-asset index fund using mixed integer programming to maximize correlation-based similarity.

Optimize cloud hosting costs with the Cloud Hosting Forecasting Engine, providing accurate visibility, financial governance, and strategic insights for AWS and GCP.

📈 Forecast U.S. Treasury yield curves with a robust machine learning approach, enhancing accuracy and decision-making in finance.

🧪 Simulate and analyze DeFi risks through stress-testing scenarios for smart contracts and models in a user-friendly, research-grade environment.

📊 Analyze financial risk for stocks and portfolios with real data from Yahoo Finance to make informed investment decisions.

📈 Analyze how rumors affect investment decisions using a qualitative reasoning engine for better outcomes and informed choices.

This project serves as the foundational pillar of the "Quantimental" strategy, providing an automated fundamental analysis framework for the "Big Four" tech leaders: Google, Meta, Nvidia, and Tesla. It is designed to work in synergy with Part 2: LSTM Autoencoder Anomaly Detection to identify the best timing to buy in the stock.

Life-cycle portfolio choice with liquidity risk, labor-income risk, and consumption adjustment frictions. Inspired by Adams (2026).

Multi-tenant school operations platform for Christian schools: SIS core, admissions, enrollment, billing, communications, portals, and mission-driven add-ons.

Python-based loan servicing system simulating payment processing, EMI calculation, and delinquency tracking with monthly lifecycle management.

An open-source, AI-powered alternative to ProjectionLab for planning your long-term personal finances.

Interactive dividend reinvestment (DRIP) growth simulator — model compound returns with adjustable parameters, milestone tracking, and year-by-year projections

An interactive option pricing model that supports Black-Scholes, Binomial, and Monte Carlo valuation methods, with adjustable inputs for pricing European and American call and put options. It also computes Greeks, implied volatility, and generates payoff charts.

A quantitative option pricing model implementing Black-Scholes, Binomial Tree, and Monte Carlo methods for valuing European and American options. Computes Greeks and implied volatility with configurable input parameters.

Easy to follow stock price analysis on Indian stock data

AI-powered financial analysis platform that transforms raw financial data into consulting-grade insights, dashboards, and automated reports (Excel, Word, Web App)

A regime-switching Monte Carlo engine for modeling systemic risk and contagion in equity markets.

Excel-based sales compensation model for a fictional B2B SaaS company. The project demonstrates financial modeling, comp plan design, and data analysis in a realistic business context.