Menlo Park, CA, United States of America

Eric Pelletier


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Eric Pelletier: Innovator in Predictive Machine Learning

Introduction

Eric Pelletier is a notable inventor based in Menlo Park, CA (US). He has made significant contributions to the field of machine learning, particularly in predicting problematic actions within organizations. His innovative approach leverages technology to enhance workplace dynamics and employee relations.

Latest Patents

Eric Pelletier holds a patent for a method of using machine learning to predict problematic actions within an organization. This method involves accessing stored employee-related data, such as emails, surveys, minutes, or records of conversations. It identifies a subset of this data associated with an employee and predicts the likelihood of adverse relations with other employees or the likelihood of resignation within a specified timeframe. This patent showcases his commitment to improving organizational health through advanced technology.

Career Highlights

Eric is currently employed at Yva.ai, Inc., where he continues to develop innovative solutions that harness the power of machine learning. His work focuses on creating tools that can proactively address potential issues within organizations, thereby fostering a more harmonious work environment.

Collaborations

Some of Eric's coworkers include David Yan and Victor Kuznetsov, who contribute to the collaborative efforts at Yva.ai, Inc. Together, they work on advancing the company's mission to utilize artificial intelligence for organizational improvement.

Conclusion

Eric Pelletier's contributions to machine learning and organizational behavior are noteworthy. His innovative patent reflects a deep understanding of the complexities of workplace dynamics. Through his work at Yva.ai, Inc., he continues to pave the way for advancements in predictive analytics within organizations.

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