Wharton Students Help Zillow Turn Data into Results

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 AI and Analytics for Business 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. A budding data scientist with a knack for numbers, the 18-year-old sophomore enjoys making order out of the chaos of data. And with Zillow, there was plenty of data.