Adit Agrawal

Title: Adit Agrawal and Time-Series Fraud Detection

Introduction

Adit Agrawal is an inventor based in Bengaluru, India. His patent work addresses the use of deep learning to assess fraud risk in payment transactions.

Latest Patents

Agrawal is associated with 1 patent, titled “Fraud Detection Using Time-Series Transaction Data.” The invention describes using recurrent neural networks (RNNs) to analyze sequential information from a user’s historical transactions alongside data from an incoming transaction. By learning patterns in a person’s spending history, the model can estimate whether a pending transaction may be fraudulent.

Career Highlights

Agrawal is associated with American Express Travel Related Services Company, Inc. His patent reflects an application of machine learning to transaction security and fraud-risk evaluation.

Collaborations

The provided information lists Manish Gupta and Avinash Tripathy as Agrawal’s coworkers. The patent description focuses on analyzing transaction sequences with RNN-based models.

Conclusion

Adit Agrawal’s patent applies time-series deep learning to help identify potentially fraudulent transactions, connecting his work in Bengaluru with payment-security innovation.