Irvine, CA, United States of America

Andrew Alexander Charles Scott


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 49(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Andrew Alexander Charles Scott

Introduction

Andrew Alexander Charles Scott is a notable inventor based in Irvine, California. He has made significant contributions to the field of credit card recommendation systems, holding three patents that enhance consumer financial decision-making. His work focuses on utilizing user data to provide tailored credit card options, improving the overall user experience.

Latest Patents

One of Andrew's latest patents is titled "Methods and apparatuses for customized credit card recommendations." This innovative system recommends credit cards to users based on their estimated monthly spending, spending across various categories, and user credit data. The system filters credit cards based on the likelihood of approval for the user. Additionally, it determines reward and adjustment valuations by assessing user spending and the characteristics of the credit cards. The recommendation system trains a model to score credit cards for users and applies specific user data to determine a personalized credit card score.

Career Highlights

Throughout his career, Andrew has worked with companies such as ConsumerInfo.com, Inc. and Consumerlnfo.com, Inc. His experience in these organizations has contributed to his expertise in developing innovative financial solutions.

Collaborations

Andrew has collaborated with notable individuals in his field, including Erik John Rehder and Elias John Tuma. These partnerships have likely enriched his work and expanded the impact of his inventions.

Conclusion

Andrew Alexander Charles Scott is a distinguished inventor whose work in credit card recommendation systems has the potential to transform consumer financial choices. His innovative patents reflect a deep understanding of user needs and data-driven solutions.

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