Pune, India

Nitin Chaturvedi

USPTO Granted Patents = 9 

Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2014-2017

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9 patents (USPTO):

Title: Nitin Chaturvedi: Innovator in Data Visualization Technologies

Introduction

Nitin Chaturvedi is a prominent inventor based in Pune, India. He has made significant contributions to the field of data visualization, holding a total of 9 patents. His work focuses on enhancing the way graphical representations are displayed, making data more accessible and understandable.

Latest Patents

One of Nitin's latest patents is titled "Display of graphical representations of legends in virtualized data formats." This innovative method involves a computer-implemented approach for displaying graphical representations of legends within a data visualization engine. The process begins with receiving input to configure a variety of swatches for the legends of graphical charts. This input can include a threshold number of swatches, an identification of the graphical area for display, and the size or data of the swatches. The method also allows for modifications to the legend swatches based on the received input. Ultimately, it generates multiple graphical charts for displaying the swatches, which are created randomly according to user preferences.

Career Highlights

Nitin Chaturvedi is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in data visualization.

Collaborations

Throughout his career, Nitin has collaborated with talented individuals such as Varun Kumar Mishra and Deepak A Deshpande. These collaborations have further enriched his work and contributed to the innovative solutions he has developed.

Conclusion

Nitin Chaturvedi is a notable inventor whose work in data visualization has led to significant advancements in the field. His innovative patents and contributions at IBM highlight his commitment to improving how data is represented and understood.

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