New York, NY, United States of America

Fenglin Yin


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Fenglin Yin in Data Quality Analysis

Introduction

Fenglin Yin is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of data quality analysis, particularly through his innovative patent. His work focuses on enhancing the accuracy and reliability of data through automated systems.

Latest Patents

Fenglin Yin holds a patent titled "Systems and methods for automated data quality semantic constraint identification using rich data type inferences." This patent outlines a method for automated data quality analysis that includes several key steps. The process begins with receiving reference data from a data source, which consists of multiple columns. The data quality engine then infers a rich data type for each column, applying specific formats and content constraints. Following this, data quality constraints are applied based on the inferred rich data types. The reference data is subsequently updated with production data, allowing the system to identify any data quality issues present in the production data. This innovative approach aims to streamline data quality management and improve overall data integrity.

Career Highlights

Fenglin Yin is currently employed at JPMorgan Chase Bank, N.A., where he utilizes his expertise in data quality analysis. His role involves developing and implementing systems that enhance data management processes. With a focus on innovation, he continues to contribute to advancements in the field.

Collaborations

Fenglin has collaborated with notable colleagues, including John F. Buford and Miguel Villarreal-Vasquez. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in data quality analysis.

Conclusion

Fenglin Yin's contributions to data quality analysis through his innovative patent demonstrate his commitment to improving data management practices. His work at JPMorgan Chase Bank, N.A. and collaborations with esteemed colleagues further highlight his impact in the field.

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