Michelle Lok is an accomplished data scientist and software engineer with extensive experience spanning multiple industries. Through roles at organizations such as Google and Wharton, Michelle has demonstrated expertise in data analytics, machine learning, and software development. Key achievements include building automated reporting systems to enhance readership metrics at The Daily Pennsylvanian and contributing to L’Oréal's People Analytics initiative, achieving a predictive model for employee turnover with 78% accuracy. Michelle holds a Master of Science in Statistics from Stanford University, complementing a Bachelor’s Degree in Economics with a concentration in Statistics from The Wharton School.
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