• Leveraged PyTorch, Pandas and Scikit-learn to analyse more than 30,000 rows of historical traffic data, developed a traffic predictive model for intelligent transportation system, improving prediction accuracy from 82% to 95%.• Created an accident detector with machine learning and deep learning models, achieving more than 10% detection accuracy improvement, facilitating public safety, and helping decision making for administration.• Utilized Large Language Models to explore patterns… Show more • Leveraged PyTorch, Pandas and Scikit-learn to analyse more than 30,000 rows of historical traffic data, developed a traffic predictive model for intelligent transportation system, improving prediction accuracy from 82% to 95%.• Created an accident detector with machine learning and deep learning models, achieving more than 10% detection accuracy improvement, facilitating public safety, and helping decision making for administration.• Utilized Large Language Models to explore patterns in traffic data by transforming the numerical sequences into sentences. Show less

-Delivered professional mentoring in Java and Python programming to college students.-Provided consultation to students' Machine Learning projects.-Maintained clear communication with both the students and Professor to track the progress.

- Developed a precise traffic demand forecasting model for the freight platform, optimizing the order and route planning for the drivers, achieving 92% prediction accuracy.- Conducted data analysis and maintenance, focusing on user behaviours in the platform's mobile application (APP).