As a main developer on a project for the Fed, Mia Dantas used SAS to query every single line of business data throughout the bank’s systems to make sure all loans and deposits were recorded.
Yi Yang analyzed text from healthcare review sites in order to make improvement suggestions to an Atlanta-area hospital.
One twin used R programming to predict PGA Tour performance. The other is managing a hypothetical mutual funds portfolio with real-world simulation.
Juan Camilo Palacio’s employer sent him to Robinson for a master’s degree, and expects him to come back ready to join the life insurance and workers compensation team.
Jayla Grant spent an entire semester cleaning FINRA documents and plans to build a model to predict mediation outcomes.
Wendy Wang manages reinsurance deals on behalf of SCOR, one of the top reinsurance companies in the world.
Anh Nguyen has picked up R coding proficiency and will build a model based on a data set later this semester.
Livia Martins collaborated with a Porsche subsidiary on a web overhaul and analyzed an AirBnB data set on behalf of a hypothetical client.
Eva Gresham creates a psychologically safe space for teams to express frustrations and fears.
Corrigan uses data to back all her decisions, removing doubt and emotion from the process.