Quick Jump

Web Development

  • Personal website thumbnail

    PokeChamp

    A Full Stack website where users create and share their favorite Pokemon party. Utilized PokeAPI to pull pokemon data and created a backend server which communicates with a MongoDB database. Implemented user authentication/authorization using JWT.
    Click here to visit PokeChamp.
    (Frontend: HTML/CSS/JavaScript, Backend: NodeJS/Express/JWT/MongoDB)

  • Personal website thumbnail

    Personal Website

    My personal website to showcase my projects and development.
    (HTML, CSS)

Software Development

  • Flightimizer thumbnail

    Flightimizer

    An application in Java that recommends users the fastest flight from a source to a desitination city using Dijkstra's algorithm. Constructed a directed graph from a Kaggle dataset with 578K flight data, where edges are weighted by elapsed flight time.
    (Java, Python, R)

Game Development

  • Escape Room thumbnail

    Escape Room

    An Escape Room game where the player controls a character to solve mysteries and escape the room within a step count limit. Implemented using Java Swift.
    (Java)

  • Tetris thumbnail

    Tetris

    A Frontend Tetris game with essential game features such as block movements, rotation, deletion and keeping track of game stats.
    Click here to play the game.
    (HTML, CSS, JavaScript)

Data Science

  • Podcast Topic Guesser thumbnail

    Podcast Topic Guesser

    A predictive model which uses topic modeling (LDA) to predict what topic a podcast will be classified as based on its channel description. Utilized text preprocessing, word cloud, and topic modeling in Python against a Kaggle dataset with 13K podcast descriptions.
    (Python)

  • Must Play Game Predictor thumbnail

    "Must Play" Game Predictor

    A logisitic regression model which use Natural Language Processing (NLP) to predict whether a video game should be classifed as a "Must Play" game (METASCORE ≥ 90) based on its user reviews. Utilized text preprocesing, word cloud, and logistic regression in R against a Kaggle dataset with 5K game info and 284K user reviews. Achieved a prediction accuracy of 65.52% on test data.
    (R)