Boston, MA, United States of America

Pavel Erofeev


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Pavel Erofeev: Innovator in Data Optimization

Introduction

Pavel Erofeev is a notable inventor based in Boston, MA (US). He has made significant contributions to the field of data optimization, particularly through his innovative patent. His work focuses on enhancing the predictive power of data systems, which is crucial in today's data-driven world.

Latest Patents

Erofeev holds a patent for an "Optimization engine in a structured and unstructured data system." This patent discloses techniques that generate a structural representation of a plurality of documents. The structural representation includes a plurality of nodes and edges, where nodes represent documents and edges indicate common features between them. Each node holds a vector of confidence values for weak models during optimization steps and a weighted prediction for each weak model. The invention aims to generate a local ensemble model that possesses higher predictive power than any individual weak model, ultimately generating a label for each node based on this local ensemble model. Erofeev's innovative approach has the potential to revolutionize how data is processed and analyzed.

Career Highlights

Pavel Erofeev is currently employed at The Boston Consulting Group, Inc. His role at this prestigious firm allows him to apply his expertise in data optimization and contribute to various projects that require advanced analytical techniques. His work is instrumental in helping organizations leverage data for better decision-making.

Collaborations

Erofeev has collaborated with talented individuals such as Ning Yang and Marcin Druzkowski. These collaborations have enriched his work and fostered an environment of innovation and creativity.

Conclusion

Pavel Erofeev is a distinguished inventor whose work in data optimization is paving the way for advancements in the field. His patent demonstrates a commitment to enhancing predictive capabilities in data systems, making a significant impact on how organizations utilize data.

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