This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Collective Health, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Kasey Eunice - Innovator in Data Quality Evaluation
Introduction
Kasey Eunice is a notable inventor based in Santa Rosa, CA (US). She has made significant contributions to the field of data processing through her innovative patent. Her work focuses on enhancing data quality evaluation systems, which are crucial for maintaining the integrity of data in various applications.
Latest Patents
Kasey Eunice holds a patent for a "Data Quality Evaluation System." This system is designed to automatically detect various types of data anomalies and quality issues that may affect the output of a data processing system. The system can identify data errors, monitor compliance with defined data reception schedules, and detect mishandling of data elements. Additionally, it can recognize when data patterns deviate from historical trends or validation data. By automating the detection of these issues, the system allows for timely investigation and correction of underlying technical problems.
Career Highlights
Kasey Eunice is currently employed at Collective Health, Inc., where she applies her expertise in data quality evaluation. Her role involves developing and implementing innovative solutions that enhance the efficiency and reliability of data processing systems. Kasey's contributions have been instrumental in advancing the company's mission to improve healthcare data management.
Collaborations
Kasey works alongside her coworker, Roman Kisin, who is also dedicated to advancing data quality initiatives within the organization. Their collaboration fosters a dynamic environment for innovation and problem-solving.
Conclusion
Kasey Eunice is a pioneering inventor whose work in data quality evaluation systems is making a significant impact in the field of data processing. Her innovative solutions are essential for ensuring the accuracy and reliability of data, which is vital in today's data-driven world.