Thomas Philip Murray

Title: Thomas Philip Murray and Transaction Data Innovation

Introduction

Thomas Philip Murray is an inventor associated with New York, NY (US), and Digital First Holdings LLC. His patent work addresses the use of machine learning to improve how financial transaction data is cleaned, interpreted, and categorized.

Latest Patents

Murray is credited with 1 patent: “Hierarchical and Multi-Label Transaction Cleansing and Categorization.” The invention describes a process in which a financial institution’s server receives transaction data from a retailer during a customer’s payment. The data is sent to a cloud service for cleansing and normalization. One machine-learning model identifies and labels entities in the normalized data, while a second model assigns hierarchical classifications to those entities. The resulting information is returned to the financial institution’s server so it can be associated with or linked to the payment.

Career Highlights

Murray’s documented patent contribution focuses on applying machine learning to transaction data processing. The described system combines data normalization, entity identification, and hierarchical classification to help financial institutions organize transaction information.

Collaborations

Murray’s listed coworkers include Chase Tyler Nicholson and Pavan Kumar Vattyam. His patent describes a workflow involving retailer servers, cloud services, and financial institution servers.

Conclusion

Thomas Philip Murray’s patent presents a machine-learning approach to cleansing and categorizing transaction data, connecting his work at Digital First Holdings LLC with financial data processing innovation.