Bengaluru, India

Dipanjan Deb

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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6 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Dipanjan Deb

Introduction

Dipanjan Deb is a prominent inventor based in Bengaluru, India, recognized for his notable contributions to the field of machine learning and customer communication. With a remarkable track record of holding six patents, Deb is at the forefront of leveraging technology to enhance customer interactions.

Latest Patents

Among his latest patents, two stand out for their groundbreaking approaches. The first, titled "Emotion Analysis Using Deep Learning Model," describes techniques for generating a set of emotion factor values through machine learning models that analyze customer communications. This innovative method involves a computing system that processes current communication data, applies it to an emotion-based indexer, and generates emotion factor values that classify communication into various emotional states.

The second patent, "Predicting Customer Interaction Using Deep Learning Model," focuses on personalizing customer engagement. This involves retrieving historical emotion factor values stored in a database and classifying customers into emotional profiles. By analyzing this data, the system can predict the likelihood of positive customer responses to certain types of engagements, thereby facilitating more effective communication strategies.

Career Highlights

Dipanjan Deb currently works at Wells Fargo Bank, N.A., where he applies his expertise in machine learning to enhance customer experience and interactions. His innovative contributions have not only advanced his career but have also made significant impacts in the financial sector.

Collaborations

Throughout his career, Deb has collaborated with notable colleagues, including Amit Agarwal and Abhishek Kumar. These collaborations have fostered a creative environment, allowing for the exchange of ideas and furthering advancements in their respective fields.

Conclusion

Dipanjan Deb exemplifies the spirit of innovation in the tech industry. His work in machine learning, particularly in the realm of customer communication, highlights the potential for technology to improve engagement strategies. As he continues to expand his portfolio of patents, Deb remains a key figure in the ongoing evolution of technology-driven customer service solutions.

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