This inventor holds 1 USPTO granted patent. Top assignee: S&p Global Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Debaprasad Satapathy: Innovator in Machine Learning Data Platforms
Introduction
Debaprasad Satapathy is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing data modeling and visualization, which is crucial for developing effective machine learning applications.
Latest Patents
Debaprasad holds a patent for a "Dynamic multi-tenant data platform for machine learning modeling and visualization." This invention encompasses a method, apparatus, system, and computer program code designed for dynamically modeling multi-tenant data within a machine learning platform. The patent describes a recommendation engine that receives a first data set from a user and characterizes it to determine its attributes and characteristics. The engine aligns these attributes with a second data set based on an ontology. Furthermore, it identifies a set of pre-trained models based on the data characteristics of the first data set and recommends these models to the user.
Career Highlights
Debaprasad is currently employed at S&P Global Inc., where he applies his expertise in data science and machine learning. His role involves developing innovative solutions that leverage data for better decision-making and predictive analytics. His contributions have been instrumental in advancing the company's capabilities in data-driven technologies.
Collaborations
Throughout his career, Debaprasad has collaborated with talented professionals, including Stanley Guzik and Prashant Desai. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Debaprasad Satapathy is a pioneering inventor whose work in machine learning data platforms is shaping the future of data analytics. His patent reflects a deep understanding of the complexities of data modeling and visualization, making significant strides in the field.