Bradenton, FL, United States of America

Steven Galginaitis


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Innovations by Steven Galginaitis

Introduction

Steven Galginaitis is an accomplished inventor based in Bradenton, FL (US). He has made significant contributions to the field of technology through his innovative patent. His work focuses on enhancing the identification of comparables, which is crucial for various applications in data analysis and decision-making.

Latest Patents

One of Steven's notable patents is titled "System and method for identifying comparables." This invention relates to a computer-implemented system and method for the identification of comparables. The method involves receiving input data from multiple data sources, generating labeled training data for a function classifier, and training classifiers to determine the functions, products, services, and risks of the comparable. Additionally, it includes applying a scoring algorithm to calculate a similarity score and generating recommendations based on the analysis. Steven holds 1 patent for this innovative system.

Career Highlights

Steven is currently employed at KPMG LLP, where he applies his expertise in technology and data analysis. His role involves leveraging his patent to improve processes and provide valuable insights to clients. His contributions have been instrumental in advancing the capabilities of the firm in the realm of data comparability.

Collaborations

Steven collaborates with talented professionals such as Michel Braun and Matthew Cretcher. Their teamwork fosters an environment of innovation and creativity, leading to the development of cutting-edge solutions in their field.

Conclusion

Steven Galginaitis exemplifies the spirit of innovation through his patent and contributions at KPMG LLP. His work in identifying comparables showcases the potential of technology to enhance decision-making processes.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…