Aaron Crouch (Data Analytics Manager, Atlantic Plant Maintenance) will share learnings from developing a project in Dataiku DSS to flag jobs where a safety or quality defect is likely to occur. He will walk you through how he and his team joined together data from various sources, and built a machine learning algorithm to predict injuries before they occur.

The model has an 85% accuracy in predicting which jobs will have an incident before the job starts. Outcomes include an intervention plan for job sites deemed high risk, and the team is now working on how to measure effectiveness of this plan.

Aaron Crouch is the Data Analytics Manager for Atlantic Plant Maintenance (a fully owned affiliate of GE). He has been working with data for over 15 years, and with Dataiku for a year and a half.