Carleton J Lindgren

Title: Carleton J Lindgren: Innovator in Machine Learning and Data Mapping

Introduction

Carleton J Lindgren is a notable inventor based in San Francisco, CA. He has made significant contributions to the fields of machine learning and data mapping, holding a total of 2 patents. His work focuses on enhancing the efficiency and accuracy of data classification and integration.

Latest Patents

Lindgren's latest patents include "Iteratively Trained Machine Learning Models for Evaluations of Internal Consistency" and "Mapping Disparate Datasets." The first patent discloses an innovative approach for evaluating the internal consistency of object classifications using machine learning. This method involves iteratively training models on different segments of a dataset, allowing for improved predictions and confidence scores. The second patent outlines systems and methods for mapping data entries from different systems, normalizing them for comparison despite variations in data fields. This process employs a combination of exact matching, dictionary matching, and text mining algorithms to evaluate similarity scores.

Career Highlights

Carleton J Lindgren is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in machine learning and data mapping. His work contributes to the bank's efforts in enhancing data management and classification processes.

Collaborations

Lindgren collaborates with talented professionals such as Manesh Saini and Hasan Adem Yilmaz, further enriching the innovative environment at Wells Fargo.

Conclusion

Carleton J Lindgren's contributions to machine learning and data mapping demonstrate his commitment to advancing technology in these fields. His patents reflect a deep understanding of data classification and integration, making him a valuable asset in the tech industry.