Roger Toussaint

Senior Data Scientist @ Arity

About Roger Toussaint

Roger Toussaint is a Senior Data Scientist with extensive experience in predictive modeling and data analysis, currently working at Arity. He has a strong academic background in Economics, Statistics, and Computer Science, complemented by practical experience at GEICO in various analytical roles.

Work at Arity

Roger Toussaint has been employed at Arity as a Senior Data Scientist since 2021. In this role, he focuses on developing advanced data models to assess insurance risk based on driving behaviors. His work involves utilizing machine learning techniques, including Q-learning and deep Q-networks, to evaluate distracted driving risks in various road contexts. Additionally, he has designed A/B tests to measure the effectiveness of new mobile app features on user experience and data quality. His contributions are integral to enhancing the company's data-driven decision-making processes.

Experience at GEICO

Roger Toussaint held multiple positions at GEICO, starting as a Product Modeling Analyst from 2018 to 2020. He then advanced to the role of Senior Modeling Analyst in 2020, where he worked for eight months. Following this, he served as Manager of Vehicle Modeling for eight months in 2021. His responsibilities included developing predictive models for insurance risk and managing projects that utilized machine learning techniques. His experience at GEICO provided him with a strong foundation in vehicle modeling and risk assessment.

Education and Expertise

Roger Toussaint earned his Bachelor's Degree in Economics and Statistics with a minor in Computer Science from the University of Pittsburgh, graduating in 2017. He was recognized as a member of Phi Beta Kappa for his academic achievements. He is currently pursuing a Master's degree in Computer Science with a focus on Machine Learning at the Georgia Institute of Technology, expected to complete in 2024. His educational background equips him with a robust understanding of data science, statistical analysis, and machine learning methodologies.

Technical Skills and Projects

Roger Toussaint has developed a Spark-based pipeline that processes extensive amounts of GPS and event-based mobile telematics data, converting it into usable attributes for machine learning models. He has managed an intern on a project focused on creating Neural Networks and Gradient Boosting Machines (GBMs) to predict insurance risk based on measured driving behaviors. His technical skills encompass data processing, machine learning, and statistical modeling, which he applies to enhance predictive analytics in the insurance industry.

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