Titanic
Individual Project, Nonparametric
Statistics Analysis, Loyola University Chicago, Chicago, IL, US
• Merge,
analysis and summary Titanic datasets
(training and testing datasets) using R studio
• Use
multiple imputation and multiple linear regression to clean the missing value in
Titanic datasets
• Use Random Forest technology
to predict the percentage of passenger survivor ( in Kaggle)
Ticketmaster Data Fest Group Project,
American Statistical Association, Loyola
University Chicago, Chicago, IL, US
• Analysis
and cleaning missing value in Ticketmaster
purchase dataset
• Identified customer segmentation for Ticketmaster based on scripts records of user's actions using clustering analysis
• Devised a marketing plan to target these segments and interpreted the outcome to clients on PowerPoint
Syphilis Case Group
Project, SAS
Programing & Applied Statistics, Loyola
University Chicago, Chicago, IL, US
•
Use Chi-square test to test
hypotheses, and explain the relationship
of each factors with the syphilis using SAS
• Literature
research on topics of Syphilis
