Predicting Financial Access

PROJECT BRIEF

Access to digital financial services is fundamental to enabling those living in poverty around the world to become more economically stable, prosperous, and resilient. Using statistical and spatial analytical means, this project aims to use probabilistic models to predict the location of financial touch points that were previously not known.

PROJECT SPECIFICS
  • Machine learning prediction approach
  • Based on authoritative and user-contribute data
  • Produced a mobile data collection platform
  • In cooperation with Spatial Development International