Michael Renzi is a data scientist with extensive experience in data analysis, project management, and machine learning across various industries. Starting as a Web Production Specialist and Project Manager at Georgetown University Information Services, Michael later transitioned to roles at Landmark Health, where responsibilities included conducting economic analyses and developing enterprise reports. As a Senior Data Scientist at Convoy Inc., Michael built production machine learning models to enhance pricing strategies, significantly improving performance metrics. Currently serving as a Data Scientist in Product Analytics at Meta, Michael continues to leverage sophisticated analytical skills, underpinned by a strong educational background with dual bachelor's degrees in Mathematics and Economics and a Master's degree in Applied Economics from Georgetown University.
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