What Will the Future of Work Look Like? MBA Brie Groh Is Helping Wharton People Analytics Answer This Question

Brie Groh and Conference Team meet with Adam Grant

Workplace culture has become a guidepost for Brie Groh, WG’22, which is why she’s excited for the virtual Wharton Future of Work Conference on April 7. As the conference chairperson, Brie is working alongside Wharton People Analytics to invite great minds to share the latest information about evolving workplace culture and practices, including burnout, hybrid work, and the 4-day workweek. Read More

Research Spotlight: Prof. Hamsa Bastani on Using Machine Learning To Combat Human Trafficking

Hamsa Bastani headshot

Hamsa Bastani, assistant professor of operations, information, and decisions at Wharton, discusses key findings from her research on how deep web data and machine learning can help law enforcement agencies investigate and intervene in human trafficking.Read More

Paying It Forward: How Wharton Data Science Academy Alumna Sydney Bramen Is Creating Impact Through Analytics

Head shots of WiDS speakers

Wharton Data Science Academy alumna Sydney Bramen hopes to learn more about applying data science to real-world problems, including education inequality. Bramen tutors younger students through two Philadelphia volunteer organizations, SquashSmarts and OurVillage, so she’s seen the inequality firsthand. In fact, in her junior year, she learned the coding language Swift to create an app to help a struggling student learn fractions. Bramen says OurVillage now recommends the app for its math tutors.Read More

Wharton Students Help Zillow Turn Data into Results

Analytics Accelerator Zillow Team

The Zillow project promised to be a tough one. The online real estate company wanted to find meaningful patterns in the copious data it collects on site visitors, so the leaders turned to Wharton Customer Analytics for help. The project was put into the Analytics Accelerator, giving Zillow access to a team of Wharton and Penn students who worked for seven weeks to solve the problem. Keshav Ramji, W’24 EAS’24, who is earning a dual degree in economics and computer science, was one of those students.Read More