Gayathri P Ayyappan

Title: Innovations of Gayathri P Ayyappan

Introduction

Gayathri P Ayyappan is an accomplished inventor based in Bengaluru, India. She has made significant contributions to the field of database management through her innovative patent. Her work focuses on enhancing the efficiency of data mining models, which is crucial in today's data-driven world.

Latest Patents

Gayathri holds a patent titled "System and method for partitioning models in a database." This patent describes systems, methods, and other embodiments for partitioning models in a database. In one embodiment, a set of training data is parsed into multiple data partitions based on partition keys. The data partitions are identified by the partition keys and are used for training data mining models. The multiple data partitions are analyzed to generate partition metrics data. Algorithm data, identifying at least one algorithm for processing the multiple data partitions, and resources data, identifying available modeling resources for processing the multiple data partitions, are read. The partition metrics data, the algorithm data, and the resources data are processed to generate an organization data structure. This organization data structure is configured to control distribution and processing of the multiple data partitions across the available modeling resources to generate a composite model object that includes a separately trained data mining model for each partition of the multiple partitions. Gayathri has 1 patent to her name.

Career Highlights

Gayathri is currently employed at Oracle International Corporation, where she continues to innovate and contribute to advancements in database technologies. Her expertise in partitioning models has positioned her as a valuable asset in her field.

Collaborations

Some of her notable coworkers include Ari Wolfe Mozes and Boriana L Milenova, who have collaborated with her on various projects within the organization.

Conclusion

Gayathri P Ayyappan's contributions to database management through her innovative patent demonstrate her commitment to advancing technology. Her work not only enhances data processing but also sets a foundation for future innovations in the field.