Received training on data mining and business intelligence, acquired data mining techniques, including decision trees, rule mining, classification, clustering analysis, etc. Learned principles and basic techniques of recommender systems, including text mining, sentiment analysis, etc Conducted social network data analysis using RapidMiner and R Developed an neighborhood and house recommendation model using k-NN and k-means Research on Factors Influencing the Health Insurance Premiums 05/2020 Collected 1, 339 sets of insurance data on people from Kaggle, Conducted linear regression analysis, drew scatterplots to display the relationship between explanatory variable and response variables, and performed curve fitting using R Studio Calculated the correlation coefficient and concluded the correlation between these factors and insurance premium charges