Data Science in Action: Tackling Real-World Challenges with Machine Learning
Title
Data Science in Action: Tackling Real-World Challenges with Machine Learning
Creator
He, Linxi
Advisor
He, Daihai
Faculty
Faculty of Computer and Mathematical Sciences
Department
Department of Applied Mathematics
Description
Linxi HE joined the 4th Wutong Cup National Data Application Competition, where students nationwide solve practical problems using data analysis and machine learning. Our team developed a convolution-based model for “Northbound Population Roaming Analysis,” uncovering unique traveler patterns. Balancing final exams and competition rounds was tough, but we managed with remote collaboration and code optimization. A memorable moment was presenting our results, which resonated with the judges and earned us a National-Level Award. The competition taught me how to translate machine learning theory into practical solutions, communicate effectively, and collaborate under pressure. PolyU’s resources and my supervisor’s mentorship were crucial. The competition not only enhanced my technical skills but also prepared me for future academic and industry opportunities.
Learning outcome/goal
Continuous Improvement and Learning from Mistakes
Critical Thinking and Problem-solving
Networking and Collaboration
Communication and Presentation Skills
Adaptability and Flexibility
Award
Second Prize, the 4th China Mobile “Wutong Cup” Big Data Innovation Competition [International competition]
Date
2025-12
Programme
BSc (Hons) Data Science and Analytics
Degree Level
Undergraduate
Keywords
Finite Element Method
;
Nonlinear Systems
;
Numerical Methods
;
Neural Networks
;
Structural Dynamics
