Wake Forrest, NC, United States of America

Amanda Jean Dussault

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Amanda Jean Dussault: Innovator in Synthetic Data Generation

Introduction

Amanda Jean Dussault is a notable inventor based in Wake Forest, NC (US). She has made significant contributions to the field of synthetic data generation, holding 2 patents that focus on creating high volumes of synthetic test data for various applications.

Latest Patents

Her latest patents include a "System and method for generating synthetic test data" and a "System and method for generating synthetic data records." The first patent provides a method for generating real-time synthetic test data that comprises large volumes of data records associated with an entity for testing data processing applications. This invention involves creating a data structure populated with predefined segments based on a selected operating field, allowing for the evaluation of combinations between data values of sub-segments. The second patent focuses on generating high volumes of synthetic data records for testing applications, particularly in fields like healthcare, without using any confidential information. This method retrieves a predefined dataset, extracts relevant data values, and defines rules for generating specific data fields.

Career Highlights

Amanda currently works at Cognizant Technology Solutions U.S. Corporation, where she applies her expertise in synthetic data generation. Her innovative work has positioned her as a key player in the field, contributing to advancements in data processing applications.

Collaborations

One of her notable coworkers is Lisa Kay Warfield, who collaborates with Amanda on various projects within their organization.

Conclusion

Amanda Jean Dussault is a pioneering inventor whose work in synthetic data generation is shaping the future of data processing applications. Her contributions are invaluable in creating efficient and effective testing environments.

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