Premalatha Thangamani

Title: Innovations by Premalatha Thangamani

Introduction

Premalatha Thangamani is an accomplished inventor based in Fremont, CA. She has made significant contributions to the field of technology, particularly in the areas of anomaly detection and payment fraud detection. With a total of four patents to her name, her work has the potential to impact various industries.

Latest Patents

One of her latest patents is titled "Methods and apparatus for anomaly detections." This application focuses on identifying anomalies within a time series. In this invention, a computing device receives sales data and aggregates it in a database. It generates multiple time series based on the aggregated data and extracts features from these series. An alerting algorithm is then created based on clusters of the extracted features, which helps determine whether a time series is an anomaly. The computing device can then generate and transmit anomaly data to other devices.

Another notable patent is "Methods and apparatus for payment fraud detection." This application relates to identifying fraudulent transactions using a decision matrix. The computing device generates scores for various transactions and categorizes them based on these scores. By applying machine learning techniques, it determines predictable features and risk categories. The decision matrix is then used to assess ongoing purchase transactions, potentially preventing the completion of fraudulent transactions.

Career Highlights

Premalatha currently works at Walmart Apollo, LLC, where she continues to innovate and develop new technologies. Her expertise in anomaly detection and fraud prevention is invaluable to her team and the company.

Collaborations

Throughout her career, Premalatha has collaborated with talented individuals such as Lian Liu and Hui-Min Chen. These collaborations have fostered a creative environment that encourages innovation and problem-solving.

Conclusion

Premalatha Thangamani is a remarkable inventor whose work in anomaly detection and payment fraud prevention showcases her dedication to advancing technology. Her contributions are significant and will likely continue to influence the industry for years to come.