This inventor holds 1 USPTO granted patent. Top assignee: Tableau Software, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovator Yogesh Sood: Pioneering Data Visualization Technologies
Introduction
Yogesh Sood is a notable inventor based in Vancouver, Canada. He has made significant contributions to the field of data visualization, particularly through his innovative patent that focuses on personalized recommendations. His work is instrumental in enhancing how organizations manage and visualize their data.
Latest Patents
Yogesh Sood holds a patent for "Providing data visualizations based on personalized recommendations." This invention is directed towards managing visualizations of data by utilizing visualization models and user profiles associated with organizations. The patent introduces a complexity score for organizations based on various characteristics, which aids in generating a recommendation model. This model determines recommended visualization models tailored to user profiles, each associated with a confidence score. The recommended models are then rank ordered, and a report is generated for users, providing a clear and organized view of the data visualizations.
Career Highlights
Yogesh Sood is currently employed at Tableau Software, Inc., a leading company in data visualization and analytics. His role at Tableau allows him to apply his innovative ideas and contribute to the development of advanced data visualization tools that empower organizations to make informed decisions.
Collaborations
Yogesh has collaborated with talented individuals such as Eric Roy Brochu and Mya Rose Warren. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies in data visualization.
Conclusion
Yogesh Sood's contributions to data visualization through his patent and work at Tableau Software, Inc. highlight his role as an influential inventor in the field. His innovative approach to managing data visualizations is paving the way for more personalized and effective data management solutions.
