TGPA: 4.16/4.0
Courses included:
GPA: 3.92/4.0
Courses included:
Proficient in using Python for machine learning and large-scale data processing. Experienced with libraries such as NumPy, Pandas, XGBoost, PyTorch, and TensorFlow.
Applied mainly in empirical economic research, especially for regression modeling and econometric analysis.
Primarily used for matrix computations, numerical analysis, and data visualization.
Used in data structures coursework to understand fundamental concepts such as stacks, heaps, and queues.
Former member of the Zhejiang University Debate Team and served as the 2020 cohort captain of the Chu Kochen Honors College Debate Team.
Passionate about a wide range of sports, including basketball, fitness training, long-distance running, and table tennis.