Elevance Health - Detection of Digital Fraud
 Closed for Registration INDY
  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Insurance
  • Keywords: Data Engineering, Fraud, Imbalanced Classification, Parameter Selection, Security
  • Tools: Jupyter, Machine Learning, Python, SQL
  • Citizenship: Open to all students
Summary

Using security-oriented telemetry, find actionable instances of fraud in near real-time. Determine the probability that a transaction constitutes fraud and begin workflow.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Elevance' in the Note section, and select the appropriate CRN.

AY 2024 - 2025 Last updated: April 26, 2024, 11:34 a.m.