Education
University of Minnesota
Minneapolis, MN, USMaster of Science in Statistics
Cumulative GPA: 3.929/4.0
Notable Coursework:
- MATH 5615H Honors: Introduction to Analysis I (A)
- STAT 8101 Theory of Statistics I (A-)
- STAT 8111 Mathematical Statistics I (A)
- STAT 8051 Advanced Regression Techniques (A)
Tianjin University of Technology
Tianjin, CNBachelor of Engineering in Computer Science and Technology
Cumulative GPA: 3.4/4.5
Notable Coursework:
- Data Structure (A)
- Computer Structure (A)
- Advanced Database (A)
Thesis: A Tourism Management System Based on Android Platform
Projects
Kaggle: Travelers Claim Prediction Competition
Led a data science team in developing a machine learning model for predicting travel insurance claims with exceptional accuracy. Our innovative approach significantly outperformed baseline models and competing solutions.
Key Achievements:
- Designed and implemented advanced feature engineering techniques for insurance data
- Applied ensemble methods combining gradient boosting and neural networks
- Achieved superior predictive performance through careful model validation and hyperparameter tuning
- Collaborated effectively in a cross-functional team environment under competition constraints
Python
Pandas
Scikit-learn
XGBoost
TensorFlow
Data Visualization