Nidhi Mulay

Title: Nidhi Mulay: Innovator in Audience Recommendation Systems

Introduction

Nidhi Mulay is a talented inventor based in Indore, India. She has made significant contributions to the field of audience recommendation systems. Her innovative approach combines advanced data analysis techniques with practical applications in the merchant sector.

Latest Patents

Nidhi holds a patent titled "Audience recommendation using node similarity in combined contextual graph embeddings." This method involves receiving a merchant identifier and generating merchant tags that describe the corresponding merchant data. By creating audience and merchant embeddings, her approach produces a heterogeneous information network that analyzes relationships between audiences and merchants. This analysis allows for the determination of scores for various audiences based on their relationships with the merchant.

Career Highlights

Nidhi is currently employed at Mastercard International Incorporated, where she applies her expertise in data science and machine learning. Her work focuses on enhancing audience engagement through innovative recommendation systems. Nidhi's contributions have been instrumental in developing solutions that improve the customer experience in the financial technology sector.

Collaborations

Nidhi has collaborated with talented professionals such as Vikas Bishnoi and Himanshi Charotia. These collaborations have fostered a creative environment that encourages the exchange of ideas and innovative solutions.

Conclusion

Nidhi Mulay is a remarkable inventor whose work in audience recommendation systems showcases her dedication to innovation. Her patent and contributions at Mastercard International Incorporated highlight her impact on the industry. Nidhi's achievements serve as an inspiration for aspiring inventors and professionals in the field.