Kew Gardens, NY, United States of America

Olabode O Oyeneye

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Olabode O Oyeneye

Introduction

Olabode O Oyeneye is a notable inventor based in Kew Gardens, NY (US). He has made significant contributions to the field of data analysis and audience measurement through his innovative patent. His work focuses on determining unique audience sizes using clustered data, which is essential for media companies and advertisers.

Latest Patents

Oyeneye holds a patent titled "Methods, apparatus, and articles of manufacture to determine unique audience size via clustered data." This patent discloses methods, apparatus, systems, and articles of manufacture designed to determine unique audience sizes through clustered data. The apparatus includes memory, machine-readable instructions, and processor circuitry that execute or instantiate these instructions. The processor circuitry forms a first matrix that identifies matching and non-matching instances of first values of respective demographics of a media audience and second values of those demographics. Furthermore, it normalizes this matrix to generate an account sharing adjustment matrix, which is then applied to correct counts of impressions of media for audience members sharing user accounts.

Career Highlights

Olabode O Oyeneye is currently employed at The Nielsen Company (US), LLC, where he applies his expertise in audience measurement and data analytics. His innovative approach has positioned him as a valuable asset in the field of media research.

Collaborations

Oyeneye collaborates with talented professionals such as Dipti Umesh Shah and Michael R Sheppard, contributing to advancements in audience measurement technologies.

Conclusion

Olabode O Oyeneye's contributions to the field of audience measurement through his innovative patent demonstrate his commitment to enhancing data analysis methods. His work continues to influence how media companies understand and engage with their audiences.

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