Checkr is headquartered in San Francisco and although Mateti was offered the option of a remote internship, she opted to spend her 12 weeks in-person. Being downtown in a city full of startups offered plenty of networking opportunities and a different atmosphere from Great Valley’s location in a corporate park.
As a data scientist intern, Mateti focused on building machine learning models by scraping data from the company’s database.
“I built machine learning models to predict if potential customers in Checkr's database would become customers and if they did, how much annual revenue they’d generate for Checkr,” Mateti said. “I integrated the results with LOOKER dashboard to allow sales representatives quick access to highly ranked potential customers.”
At the end of her internship, Mateti presented her work to other employees. Her company-wide presentation wasn’t daunting thanks in large part to her classes at Great Valley. In most of her courses, Mateti worked on a project throughout the term and presented to the class at the end.
A crucial aspect of the presentation was making sure she explained everything in simple terms so everyone—particularly those without data science backgrounds—could understand, which was a key takeaway for Mateti.
“I’ve learned a lot, like how to look at the problem, defining target variables, and overcoming the challenges,” Mateti said. “My mentor helped me a lot. If I wanted to work on a particular idea and discuss with my mentor, he always supported and guided me through the right way.”
Utkarsh Singh, Engineering Management, AQUA