Charlotte, NC, United States of America

Zachary Washam

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Wells Fargo Bank, N.A.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zachary Washam. Retrieved from https://idiyas.com/inventor/zachary-washam

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations by Zachary Washam

Introduction

Zachary Washam is an accomplished inventor based in Charlotte, NC (US). He has made significant contributions to the field of machine learning, particularly in predicting business metrics. His innovative approach leverages data analysis to enhance decision-making processes for businesses.

Latest Patents

Zachary holds 1 patent for his invention titled "Generating predicted values based on data analysis using machine learning." This patent describes techniques for predicting a business metric associated with a given business enterprise using machine learning algorithms trained on data from other businesses. The method includes selecting training and test data subsets, generating candidate models, evaluating these models, and ultimately generating a predicted output metric for a business entity.

Career Highlights

Zachary is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in machine learning to drive innovation within the financial sector. His work focuses on utilizing advanced algorithms to improve business metrics and operational efficiency.

Collaborations

Zachary collaborates with Carmel Nadav, contributing to various projects that aim to enhance the application of machine learning in business contexts.

Conclusion

Zachary Washam's innovative work in machine learning exemplifies the potential of data analysis to transform business practices. His contributions are paving the way for more informed decision-making in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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