This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Infosys Limited. Active years: 2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015
Title: Syed Mohammed: Innovator in Time-Series Data Analysis
Introduction
Syed Mohammed is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of data analysis, particularly in the area of time-series data. His innovative approach has led to the development of a unique patent that addresses the challenges of identifying and predicting streaks in data.
Latest Patents
Syed Mohammed holds a patent titled "System and method for streak discovery and prediction." This patent relates to identifying performance regions in time-series data. The disclosed embodiment involves a method that identifies one or more streaks in the time-series data based on at least one streak parameter. It also includes ranking the identified streaks based on their characteristics and predicting future occurrences of these streaks. The methods employed may include linear graph methods, statistical approaches, curve-line intersection methods, and hypothesis-based methods. This innovative system also encompasses computer-readable code that facilitates the implementation of these methods.
Career Highlights
Syed Mohammed is currently employed at Infosys Limited, a leading global technology services company. His work at Infosys has allowed him to apply his inventive skills in a practical setting, contributing to advancements in data analysis and predictive modeling.
Collaborations
Throughout his career, Syed has collaborated with talented individuals such as Satyabrata Pradhan and Radha Krishna Pisipati. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Syed Mohammed's contributions to the field of time-series data analysis through his patent demonstrate his innovative spirit and technical expertise. His work not only enhances the understanding of data patterns but also paves the way for future advancements in predictive analytics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
