New Delhi, India

Snigdha Chaturvedi

USPTO Granted Patents = 8 

Average Co-Inventor Count = 4.7

ph-index = 4

Forward Citations = 41(Granted Patents)


Location History:

  • Hyattsville, MD (US) (2013)
  • New Delhi, IN (2014 - 2018)
  • Pittsburgh, PA (US) (2018)

Company Filing History:


Years Active: 2013-2018

where 'Filed Patents' based on already Granted Patents

8 patents (USPTO):

Title: Snigdha Chaturvedi: Innovator in Data Standardization

Introduction

Snigdha Chaturvedi is a prominent inventor based in New Delhi, India. She has made significant contributions to the field of data standardization, holding a total of 8 patents. Her work focuses on developing innovative solutions that enhance the efficiency of data processing systems.

Latest Patents

One of her latest patents involves automatically mining patterns for rule-based data standardization systems. This invention provides computer program products and systems designed for mining sub-patterns within a text data set. The embodiments of this patent facilitate the identification of a set of N frequently occurring sub-patterns within the data set. They also enable the extraction of these N sub-patterns and their clustering into K groups. Each extracted sub-pattern is categorized with others in the same group based on a distance value D, which determines the degree of similarity between the sub-pattern and other sub-patterns within that group.

Career Highlights

Snigdha Chaturvedi is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in data management and standardization.

Collaborations

Throughout her career, Snigdha has collaborated with notable colleagues, including L Venkata Subramaniam and Tanveer Afzal Faruquie. These collaborations have further enriched her work and expanded the impact of her inventions.

Conclusion

Snigdha Chaturvedi is a trailblazer in the realm of data standardization, with a proven track record of innovation and collaboration. Her contributions continue to shape the future of data processing technologies.

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