Troy Eggertsen is a Senior Data Scientist at BILL since November 2021, specializing in fraud prevention and credit risk management by designing auto-underwriting credit logic and fraud detection systems. Previously, as a Machine Learning Specialist at AIR Communities, Troy integrated machine learning models into business operations, enhancing marketing campaigns and lead conversion. Early experience includes work at UC Santa Barbara, where Troy focused on deep learning for 3D point cloud classification and served as a Mathematics Group Tutor. A Data Analyst Intern at DigiPowers, Inc., Troy utilized Python and Google Analytics for quantitative analysis, and previously worked as a Community Service Officer at UC Santa Barbara. Troy holds a Bachelor of Science in Applied Mathematics from UC Santa Barbara.
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