Fraud Detection in Online Market Research

We leverage first party behavioral data to detect fraudsters. We have developed dynamic labeling techniques and implemented a supervised learning model on top of the partially available targets to solve for the most optimal coverage of good and bad actors with classical multi objective optimization approach and cnn as a backbone detection on the backend. Leveraged AWS SageMaket to deploy the model in the production.