Patents by Inventor Vinod Yadav
Vinod Yadav 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).
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Patent number: 11934928Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: GrantFiled: April 6, 2023Date of Patent: March 19, 2024Assignee: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Publication number: 20230315996Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: June 6, 2023Publication date: October 5, 2023Applicant: American Express Travel Related Services Company, Inc.Inventors: Ravi BATRA, Sandeep BOSE, Mario FRAGOSO, Ravneet GHUMAN, Madhu Sudan Reddy GUDUR, Suraj MADNANI, Curtis T. MERRYWEATHER, Ravi VARMA, Vinod YADAV
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Publication number: 20230316144Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: ApplicationFiled: April 6, 2023Publication date: October 5, 2023Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Patent number: 11775357Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.Type: GrantFiled: January 20, 2021Date of Patent: October 3, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Sandeep Bose, Shashank Kapoor, Rahul Panwar, Nikhil Jain, Vinod Yadav
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Patent number: 11748656Abstract: Disclosed are various embodiments for using decision trees for machine-learning when data is missing from a data set. A first attribute for splitting a plurality of records is identified. Then, the plurality of records are split into a first subset of records and a second subset of records. The first subset of records can include each of the plurality of records where a value is present for the first attribute and the second subset of records comprising each of the plurality of records where the value is absent for the first attribute. Finally, a node can be added to a decision tree that reflects the split of the plurality of records into the first subset of records and the second subset of records.Type: GrantFiled: February 19, 2020Date of Patent: September 5, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, Ravneet Ghuman, Madhu Sudhan Reddy Gudur, Vinod Yadav
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Patent number: 11714968Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: GrantFiled: February 24, 2022Date of Patent: August 1, 2023Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravi Batra, Sandeep Bose, Mario Fragoso, Ravneet Ghuman, Madhu Sudan Reddy Gudur, Suraj Madnani, Curtis T. Merryweather, Ravi Varma, Vinod Yadav
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Publication number: 20220391593Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naive Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: February 24, 2022Publication date: December 8, 2022Applicant: American Express Travel Related Services Company, Inc.Inventors: Ravi BATRA, Sandeep BOSE, Mario FRAGOSO, Ravneet GHUMAN, Madhu Sudan Reddy GUDUR, Suraj MADNANI, Curtis T. MERRYWEATHER, Ravi VARMA, Vinod YADAV
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Patent number: 11288456Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: GrantFiled: December 11, 2018Date of Patent: March 29, 2022Assignee: American Express Travel Related Services Company, Inc.Inventors: Ravi Batra, Sandeep Bose, Mario Fragoso, Ravneet Ghuman, Madhu Sudan Reddy Gudur, Suraj Madnani, Curtis T. Merryweather, Ravi Varma, Vinod Yadav
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Patent number: 11176180Abstract: A system and method may allow for improved accuracy for address matching. The system may receive an address input and preprocess the address input. The address input may be standardized to create a standardized address input. The standardized address input may be compared to a stored address. The system may calculate a first address matching score based on the comparison. The system may reinvestigate the standardization of the address input and calculate a second address matching score based on a second comparison. The system may compare the first address matching score to the second address matching score to improve accuracy in address matching.Type: GrantFiled: January 5, 2017Date of Patent: November 16, 2021Assignee: American Express Travel Related Services Company, Inc.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Karan Anil Kumar, Sandeep Bose, Anand Bhushan, Sanjay S. Gwalani
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Patent number: 11170046Abstract: A distributed file system may store a plurality of entity attributes. A node consolidating system may identify similarities between entity attributes for different entities. The node consolidating system may generate an entity graph which displays relationships and similarities between entities in a graphical user interface.Type: GrantFiled: May 29, 2018Date of Patent: November 9, 2021Assignee: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, Mario Fragoso, Madhu Sudhan Reddy Gudur, Karan Anil Kumar, Nivedita Singh, Vinod Yadav
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Patent number: 10943296Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: GrantFiled: February 19, 2019Date of Patent: March 9, 2021Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Publication number: 20200184017Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.Type: ApplicationFiled: December 11, 2018Publication date: June 11, 2020Applicant: American Express Travel Related Services Company, Inc.Inventors: RAVI BATRA, SANDEEP BOSE, MARIO FRAGOSO, RAVNEET GHUMAN, MADHU SUDAN REDDY GUDUR, SURAJ MADNANI, CURTIS T. MERRYWEATHER, RAVI VARMA, VINOD YADAV
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Patent number: 10534782Abstract: A system and method may allow for improved accuracy for name matching. The system may receive a name input and preprocess the name input. The name input may be tokenized to create a name token. The name token may be compared to a stored name. The system may calculate a first name matching score based on the comparison. The system may permute the name token to form a second level permutation name, compare the second level permutation name with the stored name, and calculate a second name matching score based on the comparison. The first name matching score may be compared with the second name matching score to improve accuracy in name matching.Type: GrantFiled: August 9, 2016Date of Patent: January 14, 2020Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Ajay Kumar Punia, Sandeep Bose, Anand Bhushan, Hui-Ping W. Chao
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Publication number: 20190370406Abstract: A distributed file system may store a plurality of entity attributes. A node consolidating system may identify similarities between entity attributes for different entities. The node consolidating system may generate an entity graph which displays relationships and similarities between entities in a graphical user interface.Type: ApplicationFiled: May 29, 2018Publication date: December 5, 2019Applicant: American Express Travel Related Services Company, Inc.Inventors: Sandeep Bose, MARIO FRAGOSO, MADHU SUDHAN REDDY GUDUR, KARAN ANIL KUMAR, NIVEDITA SINGH, VINOD YADAV
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Publication number: 20190180367Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: ApplicationFiled: February 19, 2019Publication date: June 13, 2019Applicant: American Express Travel Related Services Company, Inc.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Patent number: 10304129Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: GrantFiled: May 24, 2018Date of Patent: May 28, 2019Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Patent number: 10248995Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: GrantFiled: February 8, 2016Date of Patent: April 2, 2019Assignee: AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Publication number: 20180276746Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: ApplicationFiled: May 24, 2018Publication date: September 27, 2018Applicant: American Express Travel Related Services Company, Inc.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Publication number: 20170228452Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A lightning KNN host may comprise various modules and engines as discussed herein wherein lookalike records may be identified whereby the speed of the lightning KNN network may be enhanced and the accuracy and precision of results improved whereby the transaction network more properly functions according to approved parameters.Type: ApplicationFiled: February 8, 2016Publication date: August 10, 2017Applicant: American Express Travel Related Services Company, Inc.Inventors: Madhu Sudhan Reddy Gudur, Vinod Yadav, Satish T. Narayanan, Harish R. Naik, Anand Bhushan, Amber G. Gupta, Sanjay S. Gwalani
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Publication number: 20170200222Abstract: An eligibility module may receive batch credit bureau data and real time transaction data. The eligibility module may rank and score consumer based on the credit bureau data and the transaction data. A marketing campaign may he created to target consumers with a new product. The eligibility module may provide a list of consumers eligible for the new product. A real time eligibility check may be performed prior to transmitting an offer for the new product to a consumer. The real time eligibility check may be performed without requesting current credit bureau data. The consumer may access the offer, and an additional real time eligibility check may be performed prior to presenting the offer to the consumer.Type: ApplicationFiled: January 13, 2016Publication date: July 13, 2017Applicant: American Express Travel Related Services Co., Inc.Inventors: ADELE M. BARBER, ALEX DASH, AMBER G. GUPTA, SANJAY S. GWALANI, GOPINATH KONDAPALLY, HARISH R. NAIK, SATISH T. NARAYANAN, VINOD YADAV, SASTRY VSM DURVASULA