This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2020-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2022
Title: Innovations by Inventor Samiulla Shaikh
Introduction
Samiulla Shaikh is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning and data analysis. With a total of two patents to his name, his work focuses on enhancing the efficiency and effectiveness of data processing.
Latest Patents
Samiulla Shaikh's latest patents include innovative methods for recommending machine learning models and generating shaping functions for data integration. The first patent involves providing asset recommendations for specific input datasets. This process includes selecting candidate data analysis assets based on a relatedness score and ranking them accordingly. The ranked list is then displayed along with justifications for each asset. The second patent outlines a method for generating a recommended shaping function to transform user-selected data. This method utilizes previously chosen patterns of shaping functions to provide recommendations, ensuring that the data is effectively integrated.
Career Highlights
Samiulla Shaikh is currently employed at International Business Machines Corporation (IBM). His role involves working on advanced technologies that leverage machine learning and data analytics. His contributions have been instrumental in developing innovative solutions that address complex data challenges.
Collaborations
Samiulla collaborates with talented coworkers, including Sameep Mehta and Manish Anand Bhide. Together, they work on projects that push the boundaries of technology and innovation.
Conclusion
Samiulla Shaikh's work exemplifies the spirit of innovation in the field of data analysis and machine learning. His patents reflect a commitment to improving data processing methods, making significant strides in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
