Wu, who is one of the 21 students working this northern hemisphere summer in the Santiago Center-organized Global Virtual Internship Program, is using R programming to clean raw datasets to make them compatible for further analysis. She has also generated tables or sub-datasets responding to clients’ demands, performed exploratory analysis with the cleaned datasets, and built a private website for the foundation to track the interns’ progress in the project and show results.
“This internship has provided me an opportunity to apply data science knowledge and skills in a practical scenario,” she says. “Besides developing a deeper understanding on data analysis, one thing I like most in this virtual internship is the pluralistic working environment. It has been nice and interesting to collaborate with a team whose leader and members are from three different cultures and studied all different majors.”