Maegan Chang is an accomplished data professional with extensive experience in data analysis and data science across prominent companies. Notable positions include Data Analyst at Rubicon Project, where Apache Spark was utilized for reporting and performance improvement, and Data Scientist roles at Revlo and Meta, focusing on engaging solutions for small businesses and leading data science initiatives. As Data Science Manager at Meta, Maegan oversaw tools for lightweight ad creation, team management, and machine learning applications. Maegan's educational background includes an MBA in Strategic Management, Innovation, and Entrepreneurship from the University of Toronto's Rotman School of Management, as well as a Bachelor of Applied Science in Computer Engineering with Honours from the University of Toronto.
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