DINH QUOC VUONG
Madison,United States
Summary
A junior Data Science major passionate about machine learning, data analysis, and optimization, with a strong commitment to using technology for meaningful community impact. I love finding solutions for complicated issues.
Overview
1
1
year of professional experience
Work History
Independent Research
Statistics 453: Deep Learning
Madison , WI
03.2025 - Current
- Designed and conducted independent research with 3 other students on comparing two face-aging methods built on Stable Diffusion: a fading-based model simulating gradual aging, and a personalized generation model using DreamBooth to retain individual identity.
- Trained both models on curated face-aging datasets (UTKFace + FFHQ), using text-guided prompts for controlled aging, and lightweight fine-tuning techniques to preserve key facial features across age transitions.
- DreamBooth approach achieved stronger identity consistency. Fading model produced more natural age progression. Insights can inform personalized applications in media, gaming, and longevity research.
Peer Mentor
University of Wisconsin - Madison
Madison, WI
01.2025 - Current
- Serve as a peer mentor for CS 540: Introduction to Artificial Intelligence, supporting students in fundamental AI topics such as search algorithms, decision trees, probabilistic models, and supervised learning.
- Guide students through assignments involving A* search, Naive Bayes classifiers, and constraint satisfaction problems, reinforcing both theoretical concepts and practical implementation in Python.
Model Optimization
Hanoi University of Science and Technology
Ha Noi , Viet Nam
06.2024 - 08.2024
- Participated in a government-backed research project to reduce traffic congestion at six major intersections by analyzing real-time vehicular flow through surveillance video.
- Participated in the development and fine-tuning of a YOLOv5-based object detection model to classify and count vehicle types from stored and live video feeds; optimized frame sampling and implemented cloud storage pipelines (AWS S3) to streamline data handling and reduce latency.
- Improved vehicle detection accuracy by 18% and cut model inference time by 12.3%, contributing to actionable recommendations for traffic light re-timing and lane restructuring at 4 key interactions during rush hours.
Shift Lead
University’s Housing (Carson’s Market)
, United States
11.2023 - 05.2024
- Worked 12–14 hours/week as Shift Lead, regularly volunteering for closing shifts; recognized as Employee of the Month for outstanding dedication.
- Fostered team morale and efficiency by supporting coworkers, completing tasks proactively, and maintaining a positive work environment.
Education
High School Diploma -
ST. JOSEPH’S INSTITUTION INTERNATIONAL SCHOOL (SJII)
Singapore11.2022
Bachelor of Science - Data Science
UNIVERSITY OF WISCONSIN- MADISON
Madison, WI05-2026
Skills
- Python, SQL, R, Git; Pandas, Numpy, Scikit-learn, PyTorch
- ML: classification, clustering, and model tuning
- Data Wrangling, Feature Engineering, EDA
- AWS, GCP, pipeline deployment
- Interests: Bioinformatics, Optimization, and Training Model
- Time management
- Effective communication
- Problem solving
- Attention to detail
- Research collaboration
Accomplishments
- Engineering and Technological Science Competition for High School students - State Round, 2018-2019, Bronze
- Singapore Mathematical Olympiad (SMO) - Honorable Mention.
Languages
English
Full Professional
Chinese (Mandarin)
Elementary
Affiliations
- Swimming
- Soccer
- Photography
- Movies
- Running
Timeline
Independent Research
Statistics 453: Deep Learning
03.2025 - Current
Peer Mentor
University of Wisconsin - Madison
01.2025 - Current
Model Optimization
Hanoi University of Science and Technology
06.2024 - 08.2024
Shift Lead
University’s Housing (Carson’s Market)
11.2023 - 05.2024
High School Diploma -
ST. JOSEPH’S INSTITUTION INTERNATIONAL SCHOOL (SJII)
Bachelor of Science - Data Science
UNIVERSITY OF WISCONSIN- MADISON
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