Hi there! I’m Yueheng, a statistics undergraduate at SUSTech with a unique journey through industrial design to data science. My academic adventure has taken me from designing X-ray testing systems to building end-to-end futures price prediction models, reflecting my passion for combining engineering mindset with statistical rigor.
📚 Education
Visiting Student at University of California, Berkeley (Fall 2024)
- Diving deep into AI, Computer Vision, and Statistical Computing
- GPA: 3.90/4.0
Statistics Major at Southern University of Science and Technology
- Previously studied Industrial Design & Engineering
- Taken advanced courses in Machine Learning, Time Series Analysis, and Bayesian Statistics
- GPA: 3.72/4.0
🚀 Projects
Quantitative Trading System
Developed an end-to-end futures price prediction system at a hedge fund, where I worked on eliminating manual feature engineering and creating automated pattern discovery systems. It was fascinating to see how machine learning could be applied to real-world financial challenges!
Planetary Exploration Research
Worked on developing a multi-modal foundation model for planetary exploration, building a massive dataset from scratch and optimizing CLIP models. Who knew combining images with scientific data could be so exciting?
X-Ray Testing System
Led the development of an in-situ material mechanics testing system for X-ray inspection machines. This project actually sparked my interest in data science - watching real-time data visualization of material properties was mind-blowing! Even got a patent for it!
🛠️ Skills & Interests
- Machine Learning & Deep Learning
- Data Engineering & Visualization
- Statistical Analysis
- Hardware Prototyping
- Cross-disciplinary Problem Solving
🎯 Future Goals
Aspiring to innovate at the intersection of fintech and data science, I aim to develop solutions that bridge theoretical advances with practical business needs.
Feel free to reach out if you’d like to chat about data science, engineering, or anything in between!