Avani Goel Sharma

Title: Avani Goel Sharma: Innovator in Anomaly Detection and Transaction Feedback

Introduction

Avani Goel Sharma is a prominent inventor based in San Jose, California. She has made significant contributions to the fields of anomaly detection and transaction feedback reconciliation. With a total of 4 patents to her name, her work has had a substantial impact on technology and data analysis.

Latest Patents

One of her latest patents focuses on applying multi-level clustering at scale to unlabeled data for anomaly detection and security. This patent outlines methods, systems, and computer program products that enhance the detection of anomalous account behavior. The computer-implemented method involves receiving transactional data from multiple user accounts, analyzing this data using a clustering model, and detecting unusual behavior based on a computed scatteredness score. The outcome is a comprehensive report detailing account behavior and scatteredness scores for accounts exhibiting anomalous activity.

Another notable patent by Avani involves reconciling detailed transaction feedback. This innovation detects ratings indicating negative experiences and analyzes the sentiment of feedback text associated with these ratings. By calculating a sentiment score, the method adjusts the transaction rating based on the sentiment expressed in the feedback, thereby improving customer experience.

Career Highlights

Avani has worked with notable companies such as eBay and PayPal, where she has honed her skills in data analysis and technology development. Her experience in these leading organizations has equipped her with the knowledge and expertise to innovate in her field.

Collaborations

Throughout her career, Avani has collaborated with talented individuals, including Lakshman Shyam Sundar Maddali and Fransisco Kurniadi. These collaborations have contributed to her success and the advancement of her projects.

Conclusion

Avani Goel Sharma is a trailblazer in the realm of technology, particularly in anomaly detection and transaction feedback. Her innovative patents and career achievements reflect her dedication to improving data analysis and user experience.