Lance Fernando is a data scientist with 10 years of experience in analytics and product-focused data work across media and consumer platforms, currently shaping data initiatives at Dutch Pet in San Francisco. He has progressed from analyst to data scientist roles at organizations including AllTrails, Pandora, SiriusXM, and Eventbrite, bringing a blend of product insight and hands-on modeling to improve user and business outcomes. Trained with both a BS and MS in Data Science from the University of San Francisco, Lance pairs rigorous technical foundations with practical production experience in experimentation, visualization, and analytics. An amateur musician, he often approaches problems with a creative, pattern-oriented mindset—translating complex signals into actionable stories for cross-functional teams.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MSc.) Data Science, Master of Science (MSc.) Data Science at University of San Francisco
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