Company Filing History:
Years Active: 2020-2024
Title: Shubhrangshu Ghosh: Innovator in Time Series Data Analysis
Introduction
Shubhrangshu Ghosh is a notable inventor based in Kolkata, India. He has made significant contributions to the field of data analysis, particularly in time series data and sensor observational data analytics. With a total of three patents to his name, Ghosh is recognized for his innovative approaches that enhance the understanding and processing of complex data.
Latest Patents
Ghosh's latest patents include "Systems and methods for determining occurrence of pattern of interest in time series data." This invention addresses the limitations of existing solutions that focus solely on matching amplitude in time series data. His approach enables the detection of patterns that align with human vision psychology, facilitating anomaly detection through a sophisticated analysis of time series data.
Another significant patent is "Systems and methods for recommending execution environment for analysing sensor observational data." This invention tackles the challenges of scaling analytical solutions in various computing environments. Ghosh's system allows users to deploy ETL workflow pipelines in the cloud seamlessly, adapting to different computing environments without requiring changes in the code or configuration by the end user.
Career Highlights
Shubhrangshu Ghosh is currently employed at Tata Consultancy Services Limited, where he applies his expertise in data analytics. His work focuses on developing innovative solutions that assist organizations in making informed business decisions based on sensor data analytics. Ghosh's contributions have positioned him as a key player in the field of data analysis.
Collaborations
Some of Ghosh's notable coworkers include Prateep Misra and Tanushyam Chattopadhyay. Their collaborative efforts contribute to the advancement of innovative solutions in data analytics.
Conclusion
Shubhrangshu Ghosh is a distinguished inventor whose work in time series data analysis and sensor observational data has made a significant impact. His innovative patents reflect his commitment to enhancing data analytics and providing valuable solutions for various industries.