Rana Daoud

Title: Innovations by Rana Daoud

Introduction

Rana Daoud is an accomplished inventor based in Nahariya, Israel. He has made significant contributions to the field of agent behavioral analytics, with a focus on enhancing call center performance through innovative technologies. With a total of 2 patents, his work is paving the way for advancements in machine learning and behavioral analysis.

Latest Patents

Rana Daoud's latest patents include a "System and method for performing agent behavioral analytics." This invention involves transcribing incoming calls to produce call transcriptions and utilizing a trained convolutional neural network (CNN) to generate behavioral labels for agents based on these transcriptions. The CNN architecture includes an embedding layer, convolution layer, pooling layer, and classification layer, all working together to assess agent performance metrics.

Another notable patent is the "Call center agent performance scoring and sentiment analytics." This system extracts text-based, sentiment-based, and prosody-based features from tagged calls. It trains a machine learning behavioral model to produce behavioral labels for agents in incoming calls, enhancing the understanding of agent performance through various analytical metrics.

Career Highlights

Rana Daoud is currently employed at Nice Ltd, a company known for its innovative solutions in customer engagement and analytics. His work at Nice Ltd has allowed him to apply his expertise in machine learning and behavioral analytics to real-world applications, significantly impacting the efficiency of call centers.

Collaborations

Rana collaborates with talented individuals such as Hila Weisman and Raanan Gonen. Their combined efforts contribute to the development of advanced technologies that improve agent performance and customer satisfaction.

Conclusion

Rana Daoud's contributions to the field of agent behavioral analytics are noteworthy. His innovative patents and work at Nice Ltd demonstrate his commitment to enhancing call center operations through technology. His ongoing efforts are likely to lead to further advancements in the industry.