Buenos Aires, Argentina

Santiago Perez

This inventor holds 3 USPTO granted patents. Top assignee: Medallia, Inc.. Active years: 2019-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Santiago Perez. Retrieved from https://idiyas.com/inventor/santiago-perez

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 66.7

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2019-2023

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3 patents (USPTO):Explore Patents

Title: Innovations by Santiago Perez

Introduction

Santiago Perez is an accomplished inventor based in Buenos Aires, Argentina. He has made significant contributions to the field of data optimization, holding a total of three patents. His work focuses on enhancing the efficiency of data processing through innovative techniques.

Latest Patents

One of Santiago's latest patents is titled "Dual Filter Histogram Optimization." This invention involves maintaining a plurality of histograms with respect to a dataset that includes multiple data segments. In response to a query containing several conditions ordered in an initial sequence, the invention determines corresponding rejection rates for these conditions based on the histograms. The conditions are then reordered according to their rejection rates to form a new sequence, which is used to execute the query more efficiently.

Career Highlights

Santiago currently works at Medallia, Inc., where he applies his expertise in data optimization. His innovative approach has contributed to the company's advancements in data analytics and customer experience management.

Collaborations

Santiago collaborates with Thorvald Natvig, a fellow innovator, to further enhance their research and development efforts in the field of data processing.

Conclusion

Santiago Perez is a notable inventor whose work in dual filter histogram optimization exemplifies the impact of innovation in data management. His contributions continue to shape the future of data analytics.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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