Data Science for Financial Inclusion
Channel: Hasgeek TV
Date: 2019-01-19

This session explains the motivation for alternative credit scoring and data science challenges for solving this problem. Traditional approach to Credit Scoring requires financial histories of customers. As a result, it keeps unbanked customers, especially in developing economies, out of the loop. To solve this problem, Trusting Social utilizes alternative sources of data to assess creditworthiness of the whole population to deliver financial access for all.

Speaker Thuong Nguyen is a research scientist working on advance machine learning and big data to solve financial problem such as credit scoring. Session details on: https://hasgeek.com/fifthelephant/winter-edition-2019/proposals/advancing-data-science-for-financial-inclusion-tru-VzKpdXK9172PJvcks3maUX