Fraud Detection Case Study

Worked on two days case study focusing on the following areas:

• Classification modeling.
• Programming Practice: Handing off models.
• Teamwork.
• Web applications.
• Website hosting with AWS
• Deploying a DS application.
• Data visualization.
• Results presentation.
• Rough timeline

Schedule

• Day 1: Project scoping, Team direction, Model building
• Day 2: Web app and deployment

Deliverables

• A dashboard for investigators to use which helps them identify new events that are worthy of investigation for fraud. This will pull in new data regularly, and update a useful display for the investigation team.
• A ten-minute presentation on process and results.