Duration: 2017-2018

Category: Private Sector Projects

The objective of this project is the development of a Machine Learning service for the detection of suspicious activity patterns in user accounts. In particular, the software has the following characteristics:

  • Automatic segmentation of user transactions for the identification of specific behaviors.
  • Identification of user behavior changes that indicate an account take over.
  • Built for big data, scaling effectively to real-time streams of data.
  • Runs on client’s premises, providing an easy to use predictive models API.