ZeXi (Alex) Ling

Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm. Eager to contribute to team success and further develop professional skills. Brings positive attitude and commitment to continuous learning and growth.

Project 1: NBA Championship Prediction | UC Santa Barbara, CA                                                                                                    

• Created a visualization of the data providing a deeper insight and understanding that helped to establish the algorithms to be used , leading a 50% decrease in first hand analysis.
• Constructed 7 predictive models using both linear and logistic regression algorithms to be analyzed and selected.
• Trained the machine revealing the performance of each model for the selection of best model to be used for final prediction by comparing various model sensitivities.

Project 2: Movies Recommender System | UC Santa Barbara, CA                                                                                                                 

• Conducted independent research on 100 movies and 943 user data, focused on optimization and regularization.
• Created an optimization algorithm, reduced the deviation of the model to nearly 0.01 after 5000 iterations.
• Established a regularized model to avoided the overfitting issue of the model, further reduced the deviation of the model by 10%.
• Established a logistic refinement on the algorithm, further decreased the deviation of the model by 40%.