Jharkhand, India

Abhinaw Prakash

This inventor holds 1 USPTO granted patent. Top assignee: Chicago Mercantile Exchange Inc.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abhinaw Prakash. Retrieved from https://idiyas.com/inventor/abhinaw-prakash

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Abhinaw Prakash: Innovator in Dataset Cleansing

Introduction

Abhinaw Prakash is a notable inventor based in Jharkhand, India. He has made significant contributions to the field of data management, particularly in the area of dataset cleansing. His innovative approach addresses the challenges posed by external factors that can influence data patterns.

Latest Patents

Abhinaw holds a patent for a method of dataset cleansing. This patent focuses on identifying and addressing patterns in datasets that may be influenced by external factors such as temporal, meteorological, and system factors. The techniques outlined in his patent provide solutions for handling missing data elements and outlier data elements. Additionally, new elements can be generated to fill in missing data, and derivative datasets can be created based on the cleansed datasets.

Career Highlights

Abhinaw Prakash is currently employed at the Chicago Mercantile Exchange Inc., where he applies his expertise in data management. His work has been instrumental in enhancing the quality and reliability of datasets used in various applications.

Collaborations

Abhinaw collaborates with talented individuals such as Jennifer Yingying Weng and Nataliya Frost. Their combined efforts contribute to the advancement of innovative solutions in data cleansing and management.

Conclusion

Abhinaw Prakash is a pioneering inventor whose work in dataset cleansing is making a significant impact in the field of data management. His innovative techniques are essential for improving data quality and reliability.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…