Patents by Inventor Deepak Kumar DHIRASARIA

Deepak Kumar DHIRASARIA 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).

  • Patent number: 12217200
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Grant
    Filed: January 17, 2024
    Date of Patent: February 4, 2025
    Assignee: Assurant, Inc.
    Inventors: Satish Moorthy, Jay Stauffer, Jr., Brett Caltabiano, Ronnie Jeffries, III, Vivek Kumar Jha, Deepak Kumar Dhirasaria
  • Publication number: 20240193516
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Application
    Filed: January 17, 2024
    Publication date: June 13, 2024
    Inventors: Satish MOORTHY, Jay STAUFFER, JR., Brett CALTABIANO, Ronnie JEFFRIES, III, Vivek Kumar JHA, Deepak Kumar DHIRASARIA
  • Patent number: 11954623
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: April 9, 2024
    Assignee: Assurant, Inc.
    Inventors: Satish Moorthy, Jay Stauffer, Jr., Brett Caltabiano, Ronnie Jeffries, III, Vivek Kumar Jha, Deepak Kumar Dhirasaria
  • Patent number: 11915174
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: February 27, 2024
    Assignee: Assurant, Inc.
    Inventors: Satish Moorthy, Jay Stauffer, Jr., Brett Caltabiano, Ronnie Jeffries, III, Vivek Kumar Jha, Deepak Kumar Dhirasaria
  • Publication number: 20200250606
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Application
    Filed: February 13, 2020
    Publication date: August 6, 2020
    Applicant: Assurant, Inc.
    Inventors: Satish MOORTHY, Jay STAUFFER, JR., Brett CALTABIANO, Ronnie JEFFRIES, III, Vivek Kumar JHA, Deepak Kumar DHIRASARIA
  • Publication number: 20200250605
    Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.
    Type: Application
    Filed: February 13, 2020
    Publication date: August 6, 2020
    Applicant: Assurant, Inc.
    Inventors: Satish MOORTHY, Jay STAUFFER, JR., Brett CALTABIANO, Ronnie JEFFRIES, III, Vivek Kumar JHA, Deepak Kumar DHIRASARIA