Patents by Inventor Rahul Chandrawanshi

Rahul Chandrawanshi 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).

  • Processing system having a machine learning engine for providing a common trip format (CTF) output
    Patent number: 12264927
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Grant
    Filed: April 3, 2023
    Date of Patent: April 1, 2025
    Assignee: Allstate Insurance Company
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing System Having A Machine Learning Engine For Providing A Common Trip Format (CTF) Output
    Publication number: 20230314153
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Application
    Filed: April 3, 2023
    Publication date: October 5, 2023
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing system having a machine learning engine for providing a common trip format (CTF) output
    Patent number: 11644327
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: May 9, 2023
    Assignee: Allstate Insurance Company
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing System Having A Machine Learning Engine For Providing A Common Trip Format (CTF) Output
    Publication number: 20210116258
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Application
    Filed: December 7, 2020
    Publication date: April 22, 2021
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing system having a machine learning engine for providing a common trip format (CTF) output
    Patent number: 10900796
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: January 26, 2021
    Assignee: Allstate Insurance Company
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing system having a machine learning engine for providing a common trip format (CTF) output
    Patent number: 10533867
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Grant
    Filed: October 17, 2018
    Date of Patent: January 14, 2020
    Assignee: Allstate Insurance Company
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing System Having A Machine Learning Engine For Providing A Common Trip Format (CTF) Output
    Publication number: 20190310094
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Application
    Filed: April 9, 2018
    Publication date: October 10, 2019
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi
  • Processing System Having A Machine Learning Engine For Providing A Common Trip Format (CTF) Output
    Publication number: 20190310095
    Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.
    Type: Application
    Filed: October 17, 2018
    Publication date: October 10, 2019
    Inventors: Zoran Navratil, Kevin Patrick Rice, Daniel Brian Mohnen, Kevin Glickley, Nilesh Ponnala, Rahul Chandrawanshi