This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Wells Fargo Bank, N.A.. 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: Stephen James Braje: Innovator in Automated Topic Modelling
Introduction
Stephen James Braje is an accomplished inventor based in Minneapolis, MN (US). He has made significant contributions to the field of data visualization and natural language processing. His innovative approach focuses on creating methods and systems that enhance the understanding of data through visual representation.
Latest Patents
Stephen holds a patent for "Automated topic modelling and visualization based upon service phase." This patent discloses various methods, systems, devices, and machine-readable mediums that generate data visualizations from a corpus of raw data collected from multiple sources. For instance, natural language text documents can be classified based on the topic of the data. The documents are labeled with the phase during which they were collected or observed. A visualization is then created to show the correlation between the phase and the topics observed, illustrating how often a particular topic appeared during a specific phase. The visualizations can be two-dimensional, three-dimensional, or other formats.
Career Highlights
Stephen is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in data analysis and visualization. His work contributes to the bank's ability to leverage data for improved decision-making and customer insights.
Collaborations
Stephen collaborates with talented professionals in his field, including his coworker Tyler Browning Goodman. Together, they work on projects that push the boundaries of data visualization and analysis.
Conclusion
Stephen James Braje is a notable inventor whose work in automated topic modelling and visualization has the potential to transform how data is interpreted and utilized. His contributions to the field are significant and continue to influence advancements in data science.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
