Patents by Inventor Kavitha Pradeepkumar

Kavitha Pradeepkumar 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).

  • INTELLIGENT DATA INGESTION
    Publication number: 20260154624
    Abstract: Intelligent data ingestion is provided. A determined column header name of a selected column in an imported data file is mapped to a predicted corresponding column header name of a particular column in a database corresponding to a human capital management application using a plurality of machine learning models. It is determined whether the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models matches. In response to determining that the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models does match, the predicted corresponding column header name of the particular column in the database is utilized as a target column name for the determined column header name of the selected column in the imported data file.
    Type: Application
    Filed: January 30, 2026
    Publication date: June 4, 2026
    Applicant: ADP, Inc.
    Inventors: Aravind Sundar, Naveen Baskaran, Rajkumar Selvaraj, Janarthanan Venu, Kavitha Pradeepkumar
  • Intelligent data ingestion
    Patent number: 12561607
    Abstract: Intelligent data ingestion is provided. A determined column header name of a selected column in an imported data file is mapped to a predicted corresponding column header name of a particular column in a database corresponding to a human capital management application using a plurality of machine learning models. It is determined whether the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models matches. In response to determining that the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models does match, the predicted corresponding column header name of the particular column in the database is utilized as a target column name for the determined column header name of the selected column in the imported data file.
    Type: Grant
    Filed: June 2, 2022
    Date of Patent: February 24, 2026
    Assignee: ADP, Inc.
    Inventors: Aravind Sundar, Naveen Baskaran, Rajkumar Selvaraj, Janarthanan Venu, Kavitha Pradeepkumar
  • Intelligent Data Ingestion
    Publication number: 20230394351
    Abstract: Intelligent data ingestion is provided. A determined column header name of a selected column in an imported data file is mapped to a predicted corresponding column header name of a particular column in a database corresponding to a human capital management application using a plurality of machine learning models. It is determined whether the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models matches. In response to determining that the predicted corresponding column header name output by each respective machine learning model of the plurality of machine learning models does match, the predicted corresponding column header name of the particular column in the database is utilized as a target column name for the determined column header name of the selected column in the imported data file.
    Type: Application
    Filed: June 2, 2022
    Publication date: December 7, 2023
    Inventors: Aravind Sundar, Naveen Baskaran, Rajkumar Selvaraj, Janarthanan Venu, Kavitha Pradeepkumar