Zidisha Impact Analytics

Building models to predict microloan impact

Los Angeles

0 Like

33 Views

Project Info

Message Team

Technologies Used

basic python

Project Team

Owen Leddy

This team is looking for

Product Manager Investor

REQUEST TO JOIN

About

Using sentiment analysis of comments by borrowers and lenders as a metric of loan impact, I was able to train a machine learning model (a GLM) based on data from past microloans on Zidisha, an online microfinance platform. I then used that model to generate predicted impact scores for new loans currently seeking funding on Zidisha. This project uses the HavenOnDemand API for sentiment analysis. https://github.com/ozone96/zidisha_impact_analytics

Comments

Kelly Kugler - 2473d

the idea and the impact would be significant. The design and function need to be flushed out but giving visibility to lenders who want to affect people's lives is a brilliant cause to code for.

James Chien - 2473d

nice work. Think about how to score the loans for the lender?

Steve O'Dell - 2473d

This is a great idea, maybe applied in the wrong space.

peter - 2473d

super smart. can be used to help loan firms make more informed decisions.