This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Capital One Services, LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Parth Shrotri: Innovator in Data Analysis Technologies
Introduction
Parth Shrotri is a notable inventor based in McLean, VA (US). He has made significant contributions to the field of data analysis through his innovative patent. His work focuses on enhancing the understanding of large-scale, multivariate, and multidimensional datasets.
Latest Patents
Parth Shrotri holds a patent for "Computer-based systems configured for detecting, classifying, and visualizing events in large-scale, multivariate and multidimensional datasets and methods of use thereof." This patent describes systems and methods that utilize a processor to receive a dataset from a data source. The processor identifies event observations associated with time-varying data points, including anomalies, change-points, patterns, and outliers. It generates anomaly records in an event data store and automatically creates event records based on these observations, linking them for further analysis.
Career Highlights
Parth is currently employed at Capital One Services, LLC, where he applies his expertise in data systems. His innovative approach to data analysis has positioned him as a valuable asset in his field. He has successfully developed methods that improve the detection and classification of events within complex datasets.
Collaborations
Parth collaborates with talented professionals such as Diana Yoo and Daniel Snipes. Their combined efforts contribute to the advancement of data analysis technologies within their organization.
Conclusion
Parth Shrotri's work exemplifies the intersection of technology and data analysis, showcasing his innovative spirit and dedication to improving systems for understanding complex datasets. His contributions are paving the way for future advancements in this critical field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
