Women in Data Science @ Penn Conference

This is What a Data Scientist Looks Like


Karen Shen
University of Pennsylvania

On February 12, 2021, Vice Dean of Analytics at Wharton Eric Bradlow welcomed attendees to the final day of the Women in Data Science (WiDS) at Penn Conference, which highlighted student-led projects. This video features:

Predicting Academic Success of Masters Students Using Application Data with Karen Shen

This project explores the most important factors in predicting the academic success of students in the University of Pennsylvania School of Engineering and Applied Sciences Masters Program from their initial application data. Through machine learning models, we find that the Random Forest model performs very well in predicting which students will struggle to graduate and which students will succeed at Penn. Furthermore, the models show that GPA is one of the most important factors in predicting academic success and is even more important than school selectiveness. Finally, this presentation provides recommendations for admissions staff to make applications more useful for data analysis in the future.

About WiDS @ Penn Conference

Women in Data Science (WiDS) @ Penn is an independent virtual event presented by the University of Pennsylvania to coincide with the annual Global WiDS Conference held at Stanford University and an estimated 150+ organizations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work. This year’s theme for WiDS Philadelphia @ Penn was: This is What a Data Scientist Looks Like.