The team will deliver on two main workstreams. The first will be to develop a “dummy” dataset that would capture a simulated set of consumer receivable payments from thousands of customers. Various assumptions and inputs in the dataset would be flexed to yield multiple simulations. This dataset will then be used at a later date to develop portfolio level analytic tools. The second output from the team would be to leverage open-sourced Facebook AI tools that predict road and electricity infrastructure as well as population density. These tools would be fielded by the team on a set of African countries, and mapped using Open Street Maps or a similar platform.

Term
Spring 2020
Topic
Data Visualizations
Physical Science/Engineering