Company Filing History:
Years Active: 2025
Title: Katherine Esther Dalis: Innovator in Statistical Modeling
Introduction
Katherine Esther Dalis is a notable inventor based in Saint Simons Island, GA (US). She has made significant contributions to the field of statistical modeling, particularly in the context of telematics and insurance claims data. Her innovative approach has the potential to enhance predictive analytics in the automotive insurance industry.
Latest Patents
Katherine holds a patent for a method titled "Constructing a statistical model and evaluating model performance." This patent involves a sophisticated process that includes receiving telematics data and insurance claims data for a population of drivers. A training dataset is generated based on the telematics data, which includes values for a proxy variable derived from the telematics data, along with values for one or more features derived from the same data. A testing dataset is also created, which incorporates values for a target variable derived from the claims data. The statistical model generated from the training dataset is designed to predict values of the proxy variable from the features, and it is validated using the testing dataset. Katherine's innovative work in this area has resulted in 1 patent.
Career Highlights
Katherine is currently employed at Cambridge Mobile Telematics Inc., where she applies her expertise in statistical modeling to real-world applications. Her work focuses on improving the accuracy and reliability of predictive models in the telematics sector.
Collaborations
Katherine collaborates with William Francis Bradley, leveraging their combined expertise to advance their projects and enhance the effectiveness of their innovations.
Conclusion
Katherine Esther Dalis is a pioneering inventor whose work in statistical modeling is making waves in the telematics and insurance industries. Her contributions are paving the way for more accurate predictive analytics, showcasing the importance of innovation in today's data-driven world.