Delhi, India

Sandip Ranjhan

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Sandip Ranjhan in Automotive Data Solutions

Introduction

Sandip Ranjhan is a notable inventor based in Delhi, India, recognized for his contributions to automotive data solutions. With a total of three patents to his name, Ranjhan has developed innovative methods that enhance the efficiency and quality of automotive data processing.

Latest Patents

Ranjhan's latest patents include a "System and method facilitating harmonizing of automotive signals." This invention provides a robust solution for aggregating automotive data packets related to a single trip, utilizing common identifiers and timestamps. The method allows for enhanced data analytics and correlation by segregating data based on various sensor signals and calculated signals. This innovation also optimizes data packet sizes by sending sensor signals only when values change, thereby reducing computational costs on vehicles.

Another significant patent is the "Method and system for auto generating automotive data quality marker." This invention standardizes the Automotive Data Quality Marker (ADQM) to evaluate the quality of automotive data generated by vehicles. Utilizing a machine learning engine, this system determines the ADQM for various datasets, ensuring improved accuracy through regular model re-training.

Career Highlights

Sandip Ranjhan is currently employed at CerebrumX Labs Private Limited, where he continues to innovate in the field of automotive technology. His work focuses on creating solutions that address the challenges of managing and analyzing vast amounts of automotive data.

Collaborations

Ranjhan collaborates with talented individuals such as Amit Gupta and Sarika Gupta, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Sandip Ranjhan's contributions to automotive data solutions through his patents demonstrate his commitment to advancing technology in this field. His innovative approaches not only enhance data processing but also improve the overall quality of automotive data analytics.

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