This project provides tools to calculate the prices of financial options using three popular methods:

- Black-Scholes Model for analytical pricing of European options.

- Monte Carlo Simulation for numerical pricing with variance reduction techniques.

- Binomial Tree Model for pricing both European and American options.

- The goal is to provide a flexible framework for understanding and comparing these methods under different market conditions.

Machine learning model to predict Rolex watch predict Rolex watch prices based on various features.

- Data collection from watch marketplaces

- Price prediction using Random Forest

- Feature engineering for watch characteristics

- Model evaluation and visualization

A simple Retrieval-Augmented Generation (RAG) chatbot that allows users to upload PDF files and ask questions about their content.

Steps:

1. Upload a PDF file.

2. Ask questions about the content of the PDF.

3. Get context-aware answers powered by OpenAI.

Reverse-engineering gene regulatory networks in chicken embryos using Neural ODEs.

This project analyzes the stock price volatility of Disney using historical data from 2022 to 2023.

- The analysis includes feature engineering, rolling volatility computation, and machine learning-based predictions for stock price direction.

PROJECTS