Swadeep Singh

Title: Swadeep Singh: Innovator in Machine Learning Techniques

Introduction

Swadeep Singh is a notable inventor based in Noida, India. He has made significant contributions to the field of machine learning, particularly in the normalization of unstructured data into structured data. His innovative approach has the potential to enhance data classification processes across various applications.

Latest Patents

Swadeep Singh holds a patent for "Machine learning techniques for normalization of unstructured data into structured data." This patent outlines various embodiments that provide methods, apparatus, systems, and computing devices for classifying unstructured data. The invention includes generating probability scores of natural language classification labels and structured data classification labels, and assigning classification labels based on specific distance measures.

Career Highlights

Swadeep Singh is currently employed at Optum, Inc., where he applies his expertise in machine learning to develop advanced data processing solutions. His work focuses on improving the efficiency and accuracy of data classification, which is crucial in today's data-driven world.

Collaborations

Some of his coworkers include Abhay Shukla and Sarosh S Shetty, who collaborate with him on various projects within the company. Their combined efforts contribute to the innovative environment at Optum, Inc.

Conclusion

Swadeep Singh's contributions to machine learning and data normalization are noteworthy. His patent reflects a significant advancement in the field, showcasing his dedication to innovation and excellence.