This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sriram Ganta: Innovator in Clustering-Based Deviation Pattern Recognition
Introduction
Sriram Ganta is an accomplished inventor based in McKinney, TX (US). He has made significant contributions to the field of data processing and machine learning. His innovative work focuses on recognizing deviation patterns through clustering techniques.
Latest Patents
Sriram Ganta holds a patent for a technology titled "Clustering-based deviation pattern recognition." This invention involves a device that processes first data associated with one or more accounts. The device obtains clustering information and clusters the first data into one or more clusters based on this information. It identifies deviation patterns associated with portions of the first data within these clusters. Furthermore, the device determines operations to mitigate deviations and performs actions based on these operations with second data grouped into the cluster. This patent showcases his expertise in leveraging machine learning for practical applications.
Career Highlights
Sriram Ganta is currently employed at Capital One Services, LLC, where he applies his skills in data analysis and machine learning. His work at Capital One emphasizes the importance of innovation in financial services. He has demonstrated a commitment to advancing technology in his field.
Collaborations
Sriram collaborates with talented professionals, including his coworker Komal Krishna Pandamaneti. Together, they contribute to innovative projects that enhance the capabilities of their organization.
Conclusion
Sriram Ganta is a notable inventor whose work in clustering-based deviation pattern recognition exemplifies the intersection of technology and innovation. His contributions continue to impact the field of data processing and machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
