Check out my Portfolio to see more of my work!

• Machine learning model to predict stock prices for user-selected S&P 500 stocks.

• Model built using LSTM architecture for price predictions

• Frontend built using React to provide a user-friendly interface for selecting stocks, number of days to predict, and viewing predictions in graph format.

• Python trading bot using the Robin Stocks API to execute trades at specified thresholds, predict prices, and use Machine Learning to improve strategy.

• Made use of the LSTM ML architecture for stock price prediction.

• Machine learning model to detect whether an uploaded image contains a cat or a dog.

• Model built using TensorFlow and served via a Flask backend.

• Frontend built using React to provide a user-friendly interface for uploading images and viewing predictions.

• Web app using OpenAI’s LLM to generate study plans and practice questions from inputted audio/text files.

• React frontend and Flask backend breaking down content into sizeable chunks and providing practice study problems, making use of Python modules for PDF text extraction and audio transcription.

• Created a React web application to plan, create, and track gym workouts on a weekly basis.

• Processed user-inputted information in the back-end of the app to return an organized list and plan of various potential workouts.

• Basic song recommendation Jupyter Notebook based on song metrics and similarity to specified song.

• Python program to scrape data from Stack Overflow to grab top 50 new questions (question title and URL). Scraped data then stored in MongoDB database and displayed via React App.

• NFL stat prediction Jupyter Notebook based on player data and statistics over several years.

• Basic movie recommendation Jupyter Notebook based on user ratings and similarity to specified movie.

• Created a website for a nonprofit organization with chapters across the country that promotes financial literacy in America.

• Utilized HTML, CSS, and JavaScript to create the website from scratch in order to allow flexibility and customization.

• Created a simple website for 2021 FBLA Website Design Competition (placed top-12 nationally).

• Used HTML, CSS, JS, and PHP to display business information, allow for responsiveness, and interactivity.

• Created a to-do list React web application to track, store, create, and manage user-created list items.

• Accepted user input, allowed for task creation and deletion, created a feature for scheduled tasks, and implemented

I am a Computer Science Student at the University of Illinois, Urbana-Champaign based in Urbana, IL. I am majoring in computer science and seeking a minor in statistics. I am currently interested in software engineering, data science, applied Machine Learning/Artificial Intelligence, and quantitative analysis/investing. In my free time, I enjoy running, watching and playing football, and watching movies.

• LinkedIn
• GitHub
• Personal Website

Explore my professional background in more detail by checking out my Resume.

Feel free to reach out to me via [email protected] or my personal email [email protected] for collaboration or any inquiries.

Thanks for stopping by!