Shubham Agrawal

Title: Shubham Agrawal: Innovator in Ensemble Learning and Fraud Detection

Introduction

Shubham Agrawal is a prominent inventor based in Round Rock, TX (US). He has made significant contributions to the fields of machine learning and fraud detection, holding a total of 4 patents. His innovative work focuses on developing systems and methods that enhance data analysis and security.

Latest Patents

Agrawal's latest patents include a groundbreaking system, method, and computer program product for multi-domain ensemble learning based on multivariate time sequence data. This invention involves receiving multivariate sequence data and utilizing multiple anomaly detection models to generate scores. The combined data is then processed to produce an output score, which can trigger alerts or updates to various models based on predefined thresholds.

Another notable patent is for breach detection using convolutional neural networks (CNN). This method processes transaction data to identify suspected fraudulent transactions. By generating an image that represents these transactions, the system can effectively detect breach events through advanced CNN processing.

Career Highlights

Shubham Agrawal is currently employed at Visa International Service Association, where he applies his expertise in data analysis and security. His work at Visa has positioned him as a key player in the development of innovative solutions that address complex challenges in financial transactions.

Collaborations

Agrawal collaborates with talented professionals in his field, including Chiranjeet Chetia and Sheng Wang. These partnerships enhance the quality and impact of his inventions, fostering a collaborative environment that drives innovation.

Conclusion

Shubham Agrawal is a distinguished inventor whose work in ensemble learning and fraud detection is shaping the future of data security and analysis. His contributions are vital in advancing technology and improving systems that protect against fraudulent activities.