Patents by Inventor Rashid Zaheer

Rashid Zaheer 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).

  • Publication number: 20240095599
    Abstract: Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.
    Type: Application
    Filed: November 21, 2023
    Publication date: March 21, 2024
    Inventors: Suresh B. Gajendran, Mahesh Chandrappa, Mark A. Dickneite, Charles T. Fiala, Rashid Zaheer
  • Patent number: 11861470
    Abstract: Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: January 2, 2024
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Suresh B. Gajendran, Mahesh Chandrappa, Mark A. Dickneite, Charles T. Fiala, Rashid Zaheer
  • Publication number: 20220050695
    Abstract: Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.
    Type: Application
    Filed: August 12, 2021
    Publication date: February 17, 2022
    Inventors: Suresh B. Gajendran, Mahesh Chandrappa, Mark A. Dickneite, Charles T. Fiala, Rashid Zaheer