Jagdish Ramakrishnan

Title: Innovations by Jagdish Ramakrishnan

Introduction

Jagdish Ramakrishnan is an accomplished inventor based in Foster City, CA (US). He has made significant contributions to the field of data analysis and anomaly detection. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of identifying anomalies within data sets.

Latest Patents

Ramakrishnan's latest patents include innovative methods and apparatus for anomaly detection. These applications relate to identifying anomalies within data, such as pricing data. In some examples, a computing device receives data updates and selects a machine learning model to apply to the data update. The computing device may train the machine learning model with features generated based on historical purchase order data. An anomaly score is generated based on the application of the machine learning model. Based on the anomaly score, the data update is either allowed or denied. In some examples, the computing device re-trains the machine learning model with detected anomalies. Additionally, the computing device prioritizes detected anomalies for further investigation and identifies the cause of the anomalies by identifying at least one feature that is causing the anomaly.

Career Highlights

Jagdish Ramakrishnan currently works at Walmart Apollo, LLC, where he applies his expertise in machine learning and data analysis. His innovative approaches have contributed to the development of advanced systems for anomaly detection, which are crucial for maintaining data integrity and accuracy in various applications.

Collaborations

Ramakrishnan collaborates with talented professionals in his field, including Elham Shaabani and Chao Li. Their combined efforts enhance the research and development of cutting-edge technologies in data analysis.

Conclusion

Jagdish Ramakrishnan's contributions to anomaly detection and data analysis demonstrate his commitment to innovation and excellence. His work continues to influence the field and pave the way for future advancements.