This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Highradius Corporation. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ramit Roy Burman: Innovator in Machine Learning Applications
Introduction
Ramit Roy Burman is a notable inventor based in Hyderabad, India. He has made significant contributions to the field of machine learning, particularly in the context of enterprise resource planning (ERP) systems. His innovative approach has led to the development of a unique method for identifying transaction categories from coded ERP data.
Latest Patents
Ramit holds a patent for a machine learning-based system and method for the identification of transaction categories from coded ERP data. This patent describes a computing method that involves several steps, including receiving inputs from electronic devices associated with users, retrieving transaction data from databases, generating features related to transaction categories, and identifying these categories using clustering-based machine learning models. The method also includes identifying transaction categories based on pre-configured rules and providing outputs to users through their electronic devices.
Career Highlights
Ramit Roy Burman is currently employed at Highradius Corporation, where he applies his expertise in machine learning to enhance business processes. His work focuses on leveraging technology to improve the efficiency of transaction categorization, which is crucial for businesses relying on ERP systems.
Collaborations
Ramit collaborates with talented professionals such as Anupam Kunwar and Apoorva Shrivastava. Together, they contribute to innovative projects that push the boundaries of machine learning applications in business environments.
Conclusion
Ramit Roy Burman is a pioneering inventor whose work in machine learning has the potential to transform how businesses manage and categorize transactions. His contributions to the field are significant and reflect a commitment to innovation and technological advancement.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile