Company Filing History:
Years Active: 2021
Title: Prasad Vunnam: Innovator in Transactional Data Analysis
Introduction
Prasad Vunnam is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data analytics, particularly in identifying recurring patterns within transactional data. His innovative approach has the potential to enhance various applications in data processing and predictive analytics.
Latest Patents
Prasad Vunnam holds a patent for a method titled "Identifying recurring series from transactional data." This patent describes methods, systems, and computer program products designed to identify recurring series from transactional data. The analytic server receives transactional data and reduces it to one or more series of transactions. It identifies features in each series and determines a recurrence score based on training data. This score measures the likelihood that the series is recurring, allowing the server to predict future transactions based on these patterns.
Career Highlights
Prasad is currently employed at Yodlee, Inc., where he applies his expertise in data analytics. His work focuses on developing innovative solutions that leverage transactional data for better insights and predictions. With a patent portfolio that includes 1 patent, he has established himself as a key player in the field of data analysis.
Collaborations
Prasad collaborates with talented professionals such as Chanpreet Singh and Harini Padmanabhan. Together, they work on advancing the capabilities of data analytics and enhancing the solutions offered by their company.
Conclusion
Prasad Vunnam's contributions to the field of data analytics through his innovative patent demonstrate his commitment to advancing technology. His work at Yodlee, Inc. and collaborations with skilled colleagues further highlight his impact in the industry.