Starting a business is hard--at least 65% of small businesses in the United States fail in their first five years of operation. Among the biggest reasons cited for business failure is a lack of working capital to get started or to scale. In this talk, Nguyen will share his team's current work in machine learning on small business loan eligibility as it pertains to credit default risk mitigation, as well as challenges and opportunities in the lending space with some of the more esoteric ML approaches (e.g. why a deep learning black box isn't going to cut it.)
Bio: Thomson Nguyen is the Data Science Lead at Square Capital, the lending arm of Square delivering a fast, flexible and seamless funding experience that addresses the financial needs of small business owners. Thomson is also a Visiting Scholar at NYU Courant, where he researches machine learning and advises entrepreneurs on startups, fundraising, and product development. He was previously Founder and CEO of Framed Data, a predictive analytics startup that was acquired by Square in 2016.
IACS Seminars are free and open to the public. Lunch will be served from 12:30-1pm on a first-come, first-served basis. The seminar will begin promptly at 1pm.