Bryant Chung

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Computer Science Student @ Duke University, with experience in data analytics, test automation / processing, firmware / embedded systems, and full-stack development.

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About Me

Passionate about data driven insights. I have experience with test automation / processing and data analysis and am looking to further my skills and experiences in full-stack development, firmware / embedded systems, & AI/ML.

  • Languages: Java, C, Python, SQL, ImageJ, XQuery, MongoDB
    Web & App Dev: HTML, CSS, JavaScript, Flask
    Data & Tools: Matplotlib , phpMyAdmin, MySQL, PostgreSQL, Firebase, Pandas, NumPy,
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Projects

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Website (Full-Stack)

Spotify Dashboard (Personal Project)

I wanted to get some hands-on experience working with APIs and created a music visualization dashboard analyzing users’ top songs / playlists on features such as energy and “acousticness." I also added a button for removing duplicate liked songs as it was a common mistake amongst me and my friends to add the same song multiple items (ex: adding the same song from the single release, EP, album, etc.) The code was mostly written in Python. I designed a UI that incorporated the Spotify colors ( minimal black background with green and white accents). The frontend was developed using HTML, CSS, & JavaScript, and the website was locally hosted using Flask.
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ML Prediction Model

NBA Player Performance ML Prediction Model (Everything Data Class Project)

This was the course project for my CS 216: Everything Data Course. I worked in a team of 5 to develop a ML model predicting NBA player performance, measured by average points. We developed and fine-tuned Linear Regression and Support Vector Regression models with scikit-learn, achieving a solid R^2 score of 0.62 on the testing data. Additionally, we generated data visualizations with Matplotlib and Seaborn to present trends and insights, such as point distribution per game and the displayed correlation matrix of the correlation between attributes in predicting higher points scored.
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Website (Full-Stack)

Mini Amazon (Intro to Database Systems Class Project)

This was the course project for my CS 316: Introduction to Databases Course. I worked in a team of 5 to develop a space-themed, full-stack Amazon replica. I was responsible for the seller functionality, implementing seller inventory management, order fulfillment, & facilitating smooth interactions between sellers and buyers. The frontend was designed with HTML, CSS, & JavaScript, and the backend used Flask and a PostgreSQL database.
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Website (Full-Stack)

Wellness Website

Worked on a wellness website in a team of 4 for a Hackathon at Duke. This consisted of a full-stack application through which users would be prompted a daily gratitude prompt. The frontend was built with HTML, CSS, & JavaScript, & the backend was hosted on Google Firebase.
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Website (Front-End)

Egg Recipe

First front-end project that I did to implement self-learned knowledge of HTML, CSS, & JavaScript from The Odin Project. I focused on designing a clean, simple, and aesthetic recipes page.
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Contact Me

Feel free to connect over email 🙋‍♂️

Send me a message!