This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Pushkala Nagasuri: Innovator in Machine Learning and Data Analysis
Introduction
Pushkala Nagasuri is a notable inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning and data analysis, particularly through her innovative patent. Her work focuses on enhancing the accessibility and usability of time series data for business applications.
Latest Patents
Pushkala holds a patent titled "Sensor time series data: functional segmentation for effective machine learning." This patent addresses the challenges of manipulating time series data, making it more accessible for business users. The invention allows a computer system to contextualize time series data related to a device by integrating it with business data from sources like enterprise resource planning databases. The contextualized data can then be windowed based on execution data from manufacturing execution systems. This process transforms the data into summary formats that facilitate analysis, including the generation of genetic maps for clustering and anomaly detection.
Career Highlights
Pushkala is currently employed at Oracle International Corporation, where she continues to develop innovative solutions in data analysis and machine learning. Her expertise in feature engineering has positioned her as a valuable asset in her field.
Collaborations
Some of her notable coworkers include Ganga Mohan Nookala and Bryan Siu Him So, with whom she collaborates on various projects within the company.
Conclusion
Pushkala Nagasuri's contributions to machine learning and data analysis through her patent demonstrate her commitment to innovation in technology. Her work not only enhances the functionality of time series data but also empowers business users to make informed decisions based on accessible data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
