Bloomington, IL, United States of America

Miriam Valero

USPTO Granted Patents = 23 

Average Co-Inventor Count = 8.0

ph-index = 5

Forward Citations = 117(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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23 patents (USPTO):Explore Patents

Title: Innovations in Fraud Detection by Miriam Valero

Introduction

Miriam Valero is an innovative inventor based in Bloomington, IL, known for her significant contributions to the field of financial technology. With an impressive portfolio of 21 patents, she has been instrumental in developing methodologies that enhance the detection and reduction of electronic fraud alerts.

Latest Patents

Her latest patents focus on the integration of customer feedback and machine learning to reduce false positives in electronic fraud detection systems. One notable patent involves a method that begins with receiving data detailing a financial transaction, which is then processed by a rules-based engine to generate an alert. Customer feedback indicating any inaccuracies in these alerts is crucial to refining the system. This innovative approach uses machine learning to analyze why false positives occur and adjusts the rules accordingly to minimize future alerts. Another significant patent, similar in intent, emphasizes verifying facts identified by the data against customer data to confirm the legitimacy of alerts before transmitting them to customers. This proactive measure aims to enhance user trust and reduce unnecessary disruptions caused by false alerts.

Career Highlights

Miriam Valero holds a key position at State Farm Mutual Automobile Insurance Company, where she applies her expertise in fraud prevention technologies. Her work has not only helped streamline fraud detection processes but has also cultivated a more secure financial environment for users.

Collaborations

Valero’s collaborative efforts include working alongside skilled professionals such as Timothy Kramme and Reena Batra. Together, they strive to pioneer new advancements in fraud detection techniques, contributing to the overall efficiency and effectiveness of the systems in place.

Conclusion

Miriam Valero's work exemplifies the intersection of technology and finance, showcasing how innovation can significantly impact fraud detection and prevention. Her ongoing contributions to the industry demonstrate her commitment to enhancing customer security through the strategic application of machine learning and customer insights. With a continuous focus on improving systems, Valero is set to lead further innovations in her field.

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