QI MING TAY

Machine Learning Intern

Multimedia University•  May 2022 - August 2022

During my internship, i have participate in the data mining group in which in charge on a online webstore dataset that consist of the record such as user log records, user clicked url and user device etc. I have involved in • Performed data cleaning, preprocessing, exploration, analysis, and clustering using techniques such as K-means, FCM, DBSCAN, and Bisecting K-means. • Conducted in-depth analysis of an online store/e-commerce dataset, providing insights into user behavior. • Collaborated with a team to make data-driven recommendations for process improvement. Based on the clustering result which are the different user behavior groups, we then make analysis on the user type and figure out the possible recommendation for each user groups.