New York, NY, United States of America

Andrew Ehrich


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Andrew Ehrich

Introduction

Andrew Ehrich is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of technology, particularly in user data analysis and machine learning. With a total of 2 patents, his work focuses on enhancing user interaction through innovative systems and methods.

Latest Patents

Andrew's latest patents include a system for feature clustering of users, user correlation database access, and user interface generation. This invention encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media. The system is designed to obtain information stored in various databases across geographic regions and determine unique users from this information. Each user is described with imperfect identifying information, and the system utilizes machine learning models to analyze the data. It can associate records with unique users and identify items associated with them, determining their propensity to disassociate with certain items or predict future associations.

Career Highlights

Andrew currently works at Palantir Technologies Inc., where he applies his expertise in data analysis and user interface design. His innovative approach has contributed to the development of advanced systems that enhance user experience and data management.

Collaborations

Andrew collaborates with talented individuals such as Matthew Elkherj and Xavier Falco, who share his passion for innovation and technology.

Conclusion

Andrew Ehrich's contributions to the field of technology through his patents and work at Palantir Technologies Inc. highlight his role as a significant inventor in the industry. His innovative systems for user data analysis continue to shape the future of user interaction and machine learning.

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