Mason, OH, United States of America

David Anandaraj Arulraj

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: David Anandaraj Arulraj: Innovator in Data Aggregation and Machine Learning

Introduction

David Anandaraj Arulraj is a notable inventor based in Mason, Ohio, who has made significant contributions to the field of data processing and machine learning. With two patents to his name, he has developed innovative systems and methods that enhance the aggregation of data from various sources. His work is particularly relevant in today's data-driven world, where effective data management is crucial for informed decision-making.

Latest Patents

David's latest patents focus on aggregating data ingested from disparate sources for processing using machine learning models. These patents present systems and methods that allow a computing system to transform datasets from multiple data sources. By converting the data into a compatible format, the system can identify subsets of datasets for evaluation. A machine learning model is then applied to these subsets to measure their usefulness, ultimately providing visualizations of the output on a dashboard interface.

Career Highlights

David Anandaraj Arulraj is currently employed at Citibank, N.A., where he applies his expertise in data aggregation and machine learning. His role involves developing innovative solutions that streamline data processing and enhance operational efficiency. His contributions have been instrumental in advancing the bank's capabilities in handling large volumes of data.

Collaborations

David has collaborated with talented coworkers such as Deepali Tuteja and Girish Wali. Together, they work on projects that leverage their collective expertise in data science and machine learning.

Conclusion

David Anandaraj Arulraj is a pioneering inventor whose work in data aggregation and machine learning is shaping the future of data processing. His patents reflect a commitment to innovation and efficiency in handling complex datasets.

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