San Jose, CA, United States of America

Roman Samarev

USPTO Granted Patents = 6 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2018-2023

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6 patents (USPTO):Explore Patents

Title: Innovations by Roman Samarev

Introduction

Roman Samarev is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of predictive analytics, particularly in understanding psychometric attributes and business outcomes. With a total of 6 patents to his name, Samarev's work is at the intersection of technology and human behavior.

Latest Patents

One of his latest patents is focused on the "Prediction of psychometric attributes relevant for job positions." This innovation involves generating predictor models based on test data from users, which includes resumes, job descriptions, historical data, and responses to psychometric questions. These models are designed to predict the psychometric attributes and relevant skills for a first job position.

Another notable patent is for the "Prediction of business outcomes by analyzing voice samples of users." This method utilizes voice data to create predictor models based on historical data, voice samples, and psychometric responses. The goal is to predict psychometric features and business outcomes for target users based on their voice samples and historical data.

Career Highlights

Throughout his career, Roman Samarev has worked with several notable companies, including Dot Incorporation and Opensesame Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that leverage data for predictive insights.

Collaborations

Some of his notable coworkers include Ganesh Iyer and Sanjeev Ukhalkar. Their collaboration has likely contributed to the development of his innovative patents and projects.

Conclusion

Roman Samarev's work exemplifies the power of innovation in predictive analytics. His patents not only advance technology but also provide valuable insights into human behavior and business outcomes. His contributions continue to shape the future of how we understand and utilize data.

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