Austin, TX, United States of America

Helen Geraldine E Rosario

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.8

ph-index = 4

Forward Citations = 50(Granted Patents)


Location History:

  • Chapel Hill, NC (US) (2011)
  • Ellington, CT (US) (2012)
  • Austin, TX (US) (2011 - 2014)

Company Filing History:


Years Active: 2011-2014

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Innovations by Helen Geraldine E Rosario

Introduction

Helen Geraldine E Rosario is a notable inventor based in Austin, TX (US). She has made significant contributions to the field of technology, holding a total of 4 patents. Her work primarily focuses on enhancing data analysis and modeling techniques.

Latest Patents

One of her latest patents is the Product Space Browser, which features a graphical user interface (GUI) designed to facilitate insight discovery through the exploration and analysis of product space graphs. This innovation applies a product affinity engine to retailer transaction data in a market basket context. Another significant patent is the Adaptive Random Trees Integer Non-Linear Programming system. This invention presents a method for building segmented scorecards for a population. It involves creating a model of the population using a model builder computer, storing variables in a repository, and generating enhanced segmented scorecards through integer non-linear programming.

Career Highlights

Helen is currently employed at Fair Isaac Corporation, where she continues to develop innovative solutions. Her work has had a substantial impact on the way data is analyzed and utilized in various applications.

Collaborations

She has collaborated with notable coworkers, including Christopher Allan Ralph and Michael S Sossi, contributing to a dynamic and innovative work environment.

Conclusion

Helen Geraldine E Rosario's contributions to technology through her patents and work at Fair Isaac Corporation highlight her role as a leading inventor in her field. Her innovations continue to shape the landscape of data analysis and modeling.

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