Mumbai, India

Manish Bachhania


 

Average Co-Inventor Count = 8.9

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Manish Bachhania: Innovator in Data Management Solutions

Introduction

Manish Bachhania is a prominent inventor based in Mumbai, India. He has made significant contributions to the field of data management and analytics, holding a total of 3 patents. His innovative work focuses on enhancing data accessibility and efficiency in legacy systems.

Latest Patents

Manish's latest patents include an "On-demand virtual storage access method analytics." This invention involves receiving query data that indicates a conditional query and a selection of files for execution. It identifies a subset of selected files not stored in the application's file database and extracts copies from a file system into the database. The process includes parsing these copies into a dataframe, executing the conditional query, and providing results. Additionally, he has developed a patent on "Data digital decoupling of legacy systems." This invention determines access patterns for high-cost and low-cost queries in legacy systems, facilitating the offloading of data objects to target systems while retaining essential data on the legacy system.

Career Highlights

Manish currently works at Accenture Global Solutions Limited, where he applies his expertise in data management. His role involves developing innovative solutions that streamline data processes and improve system efficiency. His contributions have been instrumental in advancing the company's capabilities in data analytics.

Collaborations

Manish collaborates with talented professionals such as Pragya Sharma and Ritu Pramod Dalmia. Together, they work on various projects that aim to enhance data management solutions and drive innovation within their field.

Conclusion

Manish Bachhania is a dedicated inventor whose work in data management has led to significant advancements in the industry. His innovative patents and collaborative efforts continue to shape the future of data accessibility and efficiency.

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