Risk Scoring for Low Income Applicants


Used latent measurement models and logistic regression in combination with decision trees to develop predictive models of loan default, and then risk scores. Developed computing algorithms in R, then worked together with engineers in incorporating R codes into Ruby based web decision making systems.

The system got deployed into a company's loan decision making that dramatically reduced its default rate.

Type: Financials
Release Date: Sep 20, 2019
Last Updated: Nov 04, 2019

Average rating is 5.0 with 3 vote(s)


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