Wenchuan Huang

• Assisting in classroom management, promoting a positive learning environment.
• Supporting lead lecturer by preparing instructional materials and resources.
• Facilitating small group activities, enhancing student engagement and collaboration.
• Monitoring student progress, providing feedback to support individual learning needs.

Project title: Research on the impact of cross-border e-commerce policy on urban economic development in China

This project aims to find out if the cross-border e-commerce policy has a positive impact on the economic development in some Chinese cities.

• Using the DID (Difference-in-Differences) method to conduct the research
• Parallel trend test and robustness test are included and passed
• Heterogeneity analysis conducted
• STATA17 was used to conduct this research

• COMP5009 Data Mining project

A study was conducted upon a batch of simulated data. The environment was Python. The task was to classify the test data into 3 categories according to their features. Knn, decision tree, Naive Bayes and logistic regression was used to complete the task.

• STAT50099 Decision Methods and Predictive Analytics project

This was a supervised learning study on wine rating. The environment was R. Knn, decision tree, logistic regression and linear regression was used to conduct this study. Two variants, LASSO and ridge regression were added to the linear regression method to compare the regression effects.