PROJECTS
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.
Disney Stock Volatility Analysis
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.