Computer-vision software that tracks players and the ball in match video.
- Python
- YOLOv5
Loading…
Loading…
Data Scientist
I build machine learning models and analyze and visualize data to surface actionable findings. I'm currently researching vision-language-action models for autonomous cargo unloading at Tsinghua SIGS.
I'm a data scientist focused on machine learning, analysis, and visualization. I studied Information Science, Systems, and Technology at Cornell University with a concentration in Data Science, and I'm now in the Smart Logistics program at Tsinghua SIGS, where my thesis applies vision-language-action (VLA) models to autonomous cargo-truck unloading.
As a fellow at NYC Data Science Academy, I built random forest and regression models for real-estate analytics. My projects include a geospatial analysis of Airbnb pricing across New York City, an interactive R Shiny app for exploring Beijing air-quality data, and a YOLOv5 tracker that turns match video into possession and player statistics. At Honeywell Aerospace, I built a retrieval-augmented knowledge base over customer, factory, and testing data. I work mainly in Python with pandas, scikit-learn, and PyTorch, along with SQL and R.
A few projects worth talking about.
Computer-vision software that tracks players and the ball in match video.
Geospatial analysis of Airbnb listing prices across New York City.
Shenzhen, China
Intelligent Transportation Systems Lab, working with Prof. Zhang Kai on vision-guided robotic cargo unloading.
Shanghai, China
Sensing, Guidance, and Navigation — software for inertial measurement unit (IMU) testing, firmware, and engineering data.
New York, NY
Fellowship in applied data science and machine learning, with project work in real-estate analytics.
Corning, NY
Analysis and tooling for a plasma-spectroscopy measurement system.
Shenzhen, China
Master of Engineering, Logistics Engineering and Management (Smart Logistics)
Ithaca, NY
Bachelor of Science, Information Science, Systems, and Technology