This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Visa International Service Association. 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: Ratna Deepthi Jarugu: Innovator in Multivariable Regression Processes
Introduction
Ratna Deepthi Jarugu is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of data analysis and risk assessment through his innovative patent. His work focuses on enhancing the understanding of interactions using advanced statistical methods.
Latest Patents
Ratna Deepthi Jarugu holds a patent for a method titled "Token interaction using multivariable regression process." This method involves receiving interaction data related to multiple interactions over a specified time period. It determines a multiple variable regression formula and calculates a coefficient of determination associated with this formula and the interaction data. The method further assesses whether the coefficient meets a predetermined threshold or is maximized. If it does not, the slope coefficients are adjusted accordingly. Conversely, if the threshold is satisfied, the formula is utilized to evaluate risks associated with future interactions. He has 1 patent to his name.
Career Highlights
Ratna Deepthi Jarugu is currently employed at Visa International Service Association, where he applies his expertise in statistical analysis and risk management. His role involves collaborating with various teams to enhance the company's data-driven decision-making processes.
Collaborations
Ratna has worked alongside talented colleagues, including Geraldine Mitchley and Esha Dutta. Their combined efforts contribute to the innovative environment at Visa, fostering advancements in technology and data analysis.
Conclusion
Ratna Deepthi Jarugu exemplifies the spirit of innovation through his work in multivariable regression processes. His contributions not only enhance the understanding of interaction data but also pave the way for improved risk assessment methodologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
