Team 8

Capstone 2, Spring 2020

Team Members:

Brian Taylor, Jon Henry, Robert Stevenson


Indicator Weights and Heat Scores

Company: GE Aviation
Mentor: Eric Gero

Currently GE uses a system in which employee events are categorized and given a heat score. For example an employee sending an email to a competitor with an attachment or Employees accessing systems they do not normally need access to. However the heat scores currently hard-coded and static. This is a problem because situations can change fast, or events can be related to significantly impact the risk.


Project Scope

We plan to use a bayesian neural network and obfuscated data to generate heat scores that are more indictive to the individual preseved risk.

Language: Python Tensorflow


Project Management Information

Trello: https://trello.com/b/zyP2VdJG/capstone2

Bitbucket: https://bitbucket.org/cps491s20-team8/capstone-2/