John Q. is a skilled Data Scientist at ISC, specializing in the research, development, deployment, and monitoring of machine learning models that enhance pricing and underwriting capabilities. John has previously served as a Senior Data Analyst at Root Inc., where a new underwriting task management system was created, leveraging Python, Redshift, and AWS Lambda. At GEICO, John contributed to the development of a machine learning tool for automating insurance pricing model creation, utilizing R Shiny and H2O AI. Educationally, John holds a Graduate Certificate in Machine Learning from Cornell University and a Bachelor of Science in Biochemistry from Virginia Tech, complemented by participation in Computational Biology undergraduate research at the same institution.
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