![](images/optimization.png)
Crypto Portfolio Optimization
Developed ML models for crypto risk management, optimizing allocations with real-time data analysis.
Data Science || Mathematics
Worcester Polytechnic Institute
Class of 2024
Developed ML models for crypto risk management, optimizing allocations with real-time data analysis.
Exploratory data analysis performed on 1k+ Github Repositories used in Graph Mining MQP.
Analyzed sentiment in 10k+ CNBC articles, and it's financial impact on stock prices
A recommendation algorithm that is based on user's recent favorite songs on Spotify.
Simulated stock trading; day trading earned 5.77%, position trading 3.73%, enhancing participants' risk analysis.
Detected Identified fake reviews and predicted business features using machine learning in the Yelp Dataset.
Utilized Machine learning to help accurately detect fake reviews in the Yelp dataset
Created a Linear Optimization Model to output the most optimal NBA Team for the ’22 -’23 NBA Season.
Calculated which machine learning algorithm would be most efficient to predict the winner of the world cup.