Noida, India

Rama Krishna Singh

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Innovations by Rama Krishna Singh

Introduction

Rama Krishna Singh is a notable inventor based in Noida, India. He has made significant contributions to the field of machine learning and predictive data analysis. With a total of 2 patents, his work addresses critical needs in data analysis efficiency and accuracy.

Latest Patents

One of his latest patents is titled "Machine learning frameworks utilizing inferred lifecycles for predictive events." This invention aims to enhance predictive data analysis operations by employing techniques that improve the accuracy and efficiency of data analysis steps. The method involves mapping a primary event to a related subset of candidate secondary events by processing lifecycle-related attributes using a lifecycle inference machine learning model.

Another significant patent is "Cross-geographical predictive data analysis." This invention focuses on improving the effectiveness of predictive data analysis across different geographical domains. The method includes determining forecasted event data for superior and inferior geographic domains and performing prediction-based actions based on confirmed inferior domain event data.

Career Highlights

Rama Krishna Singh is currently employed at Optum Technology, Inc., where he continues to innovate in the field of technology and data analysis. His work has been instrumental in developing solutions that enhance network transmission efficiency and predictive capabilities.

Collaborations

He has collaborated with notable colleagues such as Ravi Pande and David Lewis Frankenfield, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Rama Krishna Singh's contributions to machine learning and predictive data analysis are noteworthy. His patents reflect a commitment to improving data analysis techniques, making significant strides in the field.

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