This project was built during my senior year of college, and is a video game built with unity. The video game takes place in the future where a cold war has taken place between humanity and AI. The main character Katya is tasked with toppling the robot regime. My team and I made 4 robust levels each with their own different challenges.
The purpose of this project was to figure out how a company’s twitter handle and the company’s CEO twitter handle affected the company’s stock. To do this my teammates and I performed Latent Semantic Analysis on tweets for those twitter handles, pre-processed the data by removing stop words, duplicate tweets, and special characters, and used cross-validation with Naive Bayes to predict if the stock will go up or down. We received our data through quandl, and the tweets were received through tweepy.
In order to market myself, I created this website. The project has been modified from john smilga's website for my own purposes. Built with Gatsby in the frontend, using strapi as a headless CMS hosted through Google Cloud Platforms postgres SQL instance, and deployed through Netlify. The interesting thing about this project is I receive all of my data through GraphQL instead of a normal REST API.
My Senior Project tasked to build a scalable website that automatically grades student-submitted code. The code was submitted through the Angular front-end, taken to our Java Spring backend, processed in a docker container, and stored in MongoDB. While doing this project we gathered requirements from professors and wrote documentation that can be viewed via the GitHub link provided below. Followed Agile methodologies, with CI/CD, 2-week sprints, feature branching strategy, and unit testing.
The purpose of this project was to predict who amongst the rookies in the NBA would become regular, All-Star, or Hall of Fame players based on their first-year stats, and trained with data found on Kaggle.com and other various sites that collected a massive amount of NBA data.
The purpose of this project was to make cooking a social media experience tailored towards college students. This project was built in my junior year of college with my teammates. Features: posting to twitter, emailing recipes, inputting recipes into the database, and secure login.
