David Gjorvad

Title: David Gjorvad: Innovator in Machine Learning for Risk Assessment

Introduction

David Gjorvad is an accomplished inventor based in Atlanta, GA (US). He has made significant contributions to the field of machine learning, particularly in the area of risk assessment. His innovative approach combines multiple data sources to enhance the accuracy and reliability of risk evaluations.

Latest Patents

David Gjorvad holds a patent for "Machine-learning techniques for risk assessment based on multiple data sources." This patent describes systems and methods for utilizing machine-learning techniques to provide risk assessments based on various data sources. The process involves receiving and authenticating data about an entity, integrating traditional and nontraditional risk assessment data, and determining an integrated risk assessment value. This value is derived by aligning outputs from different risk assessment models. The resulting information is then transmitted to a remote computing device to control access to interactive computing environments.

Career Highlights

David Gjorvad is currently employed at Equifax Inc., where he applies his expertise in machine learning to develop innovative solutions for risk assessment. His work has positioned him as a key player in the intersection of technology and risk management.

Collaborations

David collaborates with notable colleagues, including Michael Pecen and Jonathan Fenstermaker, who contribute to the advancement of their projects and initiatives.

Conclusion

David Gjorvad's contributions to machine learning and risk assessment exemplify the impact of innovative thinking in technology. His patent and work at Equifax Inc. highlight his commitment to enhancing risk evaluation processes through advanced methodologies.