Machine Learning Industry Spotlight: Lending @ Enova

Join the Women Who Code Chicago team in the first installation of our machine learning Industry Spotlight series! We are highlighting companies that utilize machine learning to propel their respective industries. Beyond the buzzword—this is a great chance to see how Chicago companies employ machine learning in their solutions. Madhuri Gupta and Zoe Zhang of Enova will lead a talk on how they make sense of the lending industry.

About the Speakers:

Madhuri Gupta
Madhuri is a part of Portfolio Analytics team at Enova. She is a data science enthusiast with Masters in Analytics from Northwestern University. She looks forward to solving business problems using predictive modeling. She has done projects in Credit Risk Analytics, Text Analytics, Sports Analytics and Marketing Analytics. She will be talking about her model to predict Bankruptcy of an average customer and various techniques she used along the way.

Zoe Zhang
Zoe is part of the Research, Architecture and Platform (RAP) team at Enova. She enjoys building machine learning platforms and models for accurate and efficient predictions of high-stake metrics for the business. Her background is in data science, finance and outdoor activities. She will be talking about the Automated Learning Framework (ALF) her team built at Enova, and Loan Loss Reserve, a use case of ALF and machine learning techniques.