Indianapolis, IN, United States of America

Daniel Louis Gasperut


Average Co-Inventor Count = 16.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovator Spotlight: Daniel Louis Gasperut

Introduction

Daniel Louis Gasperut is a notable inventor based in Indianapolis, Indiana, recognized for his impactful contributions to the field of data processing. With one patent to his name, he has made significant strides in improving how communication messages are analyzed and optimized to enhance user engagement.

Latest Patents

Gasperut's patent, titled "Subject Line Tester," presents a robust method, system, and device that leverages data processing capabilities. The invention involves sophisticated machine learning processes that analyze communication messages, such as social media interactions, to develop refined engagement metrics. Through this innovative system, a subject line for any communication message can be entered into a machine learning model. The model then generates an engagement score, predicting the likelihood that a recipient will open the message based on its subject line. This automated feedback loop allows users to modify their subject lines to improve the engagement score, thereby optimizing communication effectiveness.

Career Highlights

Currently, Daniel works at Salesforce, Inc., a leading customer relationship management (CRM) platform known for its innovative solutions in business technology. His tenure at Salesforce has been marked by a commitment to enhancing data-driven insights and user engagement through his inventive methodologies.

Collaborations

Gasperut collaborates with talented colleagues, including Kexin Xie and Gokhan Cagrici, at Salesforce. Together, they explore new frontiers in data processing and communication analytics, fostering a collaborative environment conducive to innovation and technological advancement.

Conclusion

Daniel Louis Gasperut's work exemplifies the intersection of technology and user experience. His innovative techniques in communication message analysis reflect the ongoing evolution of machine learning applications in the modern business landscape. With such patented advancements, he continues to drive significant improvements in how organizations engage with their audiences.

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