Patents by Inventor Gerald Ashby

Gerald Ashby has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Analytics rules engine for select transaction identification
    Patent number: 12566978
    Abstract: A system is configured to retrieve a set of raw transaction data. A transaction categorization model is applied to the raw transaction data. The transaction categorization model infers a category from each transaction and labels each transaction with the inferred category. An entity recognition model is applied to the labelled transaction data. The entity recognition model extracts an entity from each transaction and labels each transaction with the extracted entity. The system generates a plurality of transaction streams from the labelled transactions based on the category and entity labels. The system also labels each transaction stream with either a revenue label or a non-revenue label based on an analysis of the types of transactions defining the transaction stream. The system trains a supervised-based neural network using the labelled transaction streams to generate a revenue stream classifier model.
    Type: Grant
    Filed: May 8, 2023
    Date of Patent: March 3, 2026
    Assignee: Mastercard International Incorporated
    Inventors: Shraddha Wanage, Brijesh Garabadu, Kunal Ojha, Daman Bareiss, Ashley Guinan, Gerald Ashby
  • Analytics rules engine for credit transaction stacking identification
    Patent number: 12555108
    Abstract: A system is configured to retrieve a set of raw transaction data. A transaction categorization model is applied to the raw transaction data. The transaction categorization model infers a category from each transaction and labels each transaction with the inferred category. An entity recognition model is applied to the labelled transaction data. The entity recognition model extracts an entity from each transaction and labels each transaction with the extracted entity. The system generates a plurality of transaction streams from the labelled transactions based on the category and entity labels. The system also labels each transaction stream with either a loan label or a non-loan label based on an analysis of the types of transactions defining the transaction stream. The system trains a supervised-based neural network using the labelled transaction streams to generate a credit stacking classifier model.
    Type: Grant
    Filed: May 8, 2023
    Date of Patent: February 17, 2026
    Assignee: Mastercard International Incorporated
    Inventors: Shraddha Wanage, Brijesh Garabadu, Zach Orban, Kunal Ojha, Gerald Ashby, Ashley Guinan
  • ANALYTICS RULES ENGINE FOR CREDIT TRANSACTION STACKING IDENTIFICATION
    Publication number: 20240378604
    Abstract: A system is configured to retrieve a set of raw transaction data. A transaction categorization model is applied to the raw transaction data. The transaction categorization model infers a category from each transaction and labels each transaction with the inferred category. An entity recognition model is applied to the labelled transaction data. The entity recognition model extracts an entity from each transaction and labels each transaction with the extracted entity. The system generates a plurality of transaction streams from the labelled transactions based on the category and entity labels. The system also labels each transaction stream with either a loan label or a non-loan label based on an analysis of the types of transactions defining the transaction stream. The system trains a supervised-based neural network using the labelled transaction streams to generate a credit stacking classifier model.
    Type: Application
    Filed: May 8, 2023
    Publication date: November 14, 2024
    Applicant: Mastercard International Incorporated
    Inventors: Shraddha Wanage, Brijesh Garabadu, Zach Orban, Kunal Ojha, Gerald Ashby, Ashley Guinan
  • ANALYTICS RULES ENGINE FOR SELECT TRANSACTION IDENTIFICATION
    Publication number: 20240378466
    Abstract: A system is configured to retrieve a set of raw transaction data. A transaction categorization model is applied to the raw transaction data. The transaction categorization model infers a category from each transaction and labels each transaction with the inferred category. An entity recognition model is applied to the labelled transaction data. The entity recognition model extracts an entity from each transaction and labels each transaction with the extracted entity. The system generates a plurality of transaction streams from the labelled transactions based on the category and entity labels. The system also labels each transaction stream with either a revenue label or a non-revenue label based on an analysis of the types of transactions defining the transaction stream. The system trains a supervised-based neural network using the labelled transaction streams to generate a revenue stream classifier model.
    Type: Application
    Filed: May 8, 2023
    Publication date: November 14, 2024
    Applicant: Mastercard International Incorporated
    Inventors: Shraddha Wanage, Brijesh Garabadu, Kunal Ojha, Daman Bareiss, Ashley Guinan, Gerald Ashby