Dallas, TX, United States of America

Amrita Dasgupta

This inventor holds 2 USPTO granted patents. Top assignee: Bank of America Corporation. Active years: 2020-2023.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020-2023

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2 patents (USPTO):Explore Patents

Title: Amrita Dasgupta: Innovator in Data Trend Analysis

Introduction

Amrita Dasgupta is a notable inventor based in Dallas, TX (US). She has made significant contributions to the field of data trend analysis, holding 2 patents that showcase her innovative approach to real-time data aggregation.

Latest Patents

One of her latest patents involves a system for performing data trend analysis based on real-time data aggregation. This system categorizes a number of transaction records based on their associated merchant IDs. For each merchant ID, the system determines whether the number of transaction records exceeds a pre-determined threshold. Upon identifying a merchant ID with a number of transaction records that exceeds this threshold, the system identifies a location associated with the merchant ID and generates a trending notification indicating a transaction burst. Furthermore, the system identifies a set of users located in that area who have a transaction history with the merchant ID and sends the trending notification to them.

Career Highlights

Amrita currently works at Bank of America Corporation, where she applies her expertise in data analysis and innovation. Her work has been instrumental in developing systems that enhance the understanding of consumer behavior through data.

Collaborations

Some of her coworkers include Lindsay Payne and Maruthi Z Shanmugam, who contribute to the collaborative environment that fosters innovation at Bank of America Corporation.

Conclusion

Amrita Dasgupta's work in data trend analysis exemplifies her commitment to innovation and her ability to leverage technology for practical applications. Her contributions are paving the way for advancements in understanding transaction behaviors and trends.

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