Olivia Maly

Title: Innovations by Olivia Maly

Introduction

Olivia Maly is a prominent inventor based in Singapore, known for her contributions to technology and data processing. With a total of 5 patents to her name, she has made significant strides in the fields of predictive modeling and mobile application data analysis. Her work is characterized by innovative methods that enhance the efficiency and accuracy of data handling.

Latest Patents

One of Olivia's latest patents is titled "System, method, and computer program product for iteratively refining a training data set." This invention provides methods for refining a training data set, which includes training a predictive model based on user profiles and determining classifications for these profiles. The process involves assessing the performance of the predictive model and updating it accordingly, ensuring that the model remains accurate and effective.

Another notable patent is "Method, system, and computer program product for matching card transaction data to mobile application usage." This invention outlines a method for correlating card transaction data with mobile application interactions. It includes generating geographic regions, receiving transaction and application data, and matching these based on location, thereby linking account identifiers with user identifiers.

Career Highlights

Olivia Maly is currently employed at Visa International Service Association, where she applies her expertise in data processing and predictive analytics. Her role involves developing innovative solutions that enhance the company's services and improve user experiences.

Collaborations

Throughout her career, Olivia has collaborated with talented individuals such as Anubhav Narang and Nuri Vinod Purswani Ramchandani. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Olivia Maly's contributions to the field of technology through her patents and innovative methods demonstrate her commitment to advancing data processing techniques. Her work not only enhances the efficiency of predictive modeling but also bridges the gap between transaction data and mobile application usage.