I am a data science and Finance student at Northeastern University. I am very passionate about the Fintech Field.
My own personal portfolio on a full-stack deployed website with a custom domain
- Has a React Frontend and a Nodejs Backend.
- Deployed Frontend on Vercel and backend on Railway.
Detects substantive changes in legal texts and reports them using LLM Analysis
- Uses OpenRouter API to integrate LLM trained on large texts
- Uses Natural Language Processing to scan legal texts and detect changes.
- Uses a streamlit UI to run the website.
Detects co-integrated correlation between XOM and gold to identify whetheter pairs trading strategies can be applied to these stocks
- Checking compatibility of two stocks for pairs trading strategy.
- Backtesting framework to see if this would work on old data.
- Currently testing XOM and Gold but could easily change to any other compatible stocks.
Processes data and uses Machine Learning to detect heart disease
- Uses ML models like Logistic Regression and KNN Classifiers to predict heart disease.
- Processes data using pandas, one-hot encoder, standard scaler, etc.
- Uses 400,000+ publiclys surveyed patient records.
- Achieved a 91% accuracy with predicting heart disease.