Philadelphia, PA, United States of America

Shaun Delaney Espiritu


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Shaun Delaney Espiritu: Innovator in Media Viewership Forecasting

Introduction

Shaun Delaney Espiritu, based in Philadelphia, PA, is an accomplished inventor with a focus on innovations in media analytics. He holds a patent that addresses critical aspects of forecasting and measuring media viewership, demonstrating his expertise in combining diverse data sets for improved outcomes.

Latest Patents

Espiritu's patent, titled "Methods and systems for forecasting and measurement of media viewership using a combination of data sets," revolutionizes how future media viewership is predicted. This invention employs time-ordered analysis of historical viewership information, allowing for the synthesis of information from various data sources. The methodology not only identifies possible unreliable data but also aids in imputing missing values through organized time series.

Career Highlights

Currently, Shaun Delaney Espiritu works at Simulmedia, Inc., a company known for its advancements in advertising technology. His contributions in this role emphasize the importance of data integration and analysis in forecasting media trends, enhancing the decision-making capabilities of media planners.

Collaborations

Throughout his career, Espiritu has had the opportunity to collaborate with notable colleagues, including Mario Andres Morales and Krishna Balasubramanian. These partnerships reflect a commitment to driving innovation and refining approaches to media viewership analysis in the evolving landscape of digital content.

Conclusion

Shaun Delaney Espiritu's innovation in the field of media viewership forecasting positions him as a key figure in modern data analytics. His patent illustrates a significant advancement in leveraging historical data and time series analysis, paving the way for more accurate insights in media consumption patterns.

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