Hi, I'm Minh Bui!

I’m from Hanoi, Vietnam, and I moved to the U.S. in 2024 to start college at the University of Wisconsin-Madison. Back in high school, I went to Nguyen Hue High School for the Gifted, where I was in the Informatics class. I’ve always loved programming and math—I’ve been into advanced math since elementary school and started competitive programming in 10th grade using C++, which is still my favorite language.
In my first year at UW-Madison, I took several CS-related courses such as Java Object-Oriented Programming, Data Structures and Algorithms, Discrete Mathematics, and Linear Algebra. I also like solving problems on Leetcode every day to practice and improve. It’s been exciting so far, and I’m looking forward to learning even more!

Skills

C++

4 years experience

Python

4 years experience

Java

1 year experience

JavaScript

1 year experience

HTML

1 year experience

Projects

Green Air (Hanoi University of Science and Technology Artificial Intelligence Research Center)

  • Conceptualized and developed GreenAir, an innovative AI-powered mobile application that leverages smartphone camera images to predict PM2.5 levels, empowering users to make informed decisions about air quality.

  • Led a team of 5 in designing and deploying machine learning models, achieving a 90% accuracy in real-time air quality predictions, showcasing advanced data science capabilities.

  • Integrated deep learning algorithms with computer vision techniques using Python, and engineered the GreenAir application on iOS, delivering a seamless user experience and enhancing project’s societal impact.

  • Collected and labeled a dataset of 1200+ sky images, enabling robust training and optimization of machine learning models for enhanced prediction accuracy and reliability.

In-Person Campaigns (Biokind Analytics)

  • Utilized Python and R to clean, transform, and manipulate donation event data on 13+ datasets, ensuring accuracy and consistency for subsequent analyses.

  • Created effective visualizations using Python and R to communicate findings, such as including geospatial analyses with GeoPandas and Tableau to map donor distribution by region.

  • Analyzed donation event effectiveness through descriptive statistics and trend analysis, providing actionable insights to improve future campaigns.

Love Potion (Triott da Project)

  • Designed and developed a multi-phase game using GameMaker Language, featuring interactive multiple-choice questions to foster player engagement and meaningful interactions.

  • Implemented a matching algorithm to analyze player responses and match compatible players based on shared interests, significantly enhancing user engagement and satisfaction.

  • Directed the project life-cycle from concept to completion, employing iterative testing and feedback to ensure a seamless and enjoyable user experience.

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