Carvana
Charles Zhan is a skilled data science professional with extensive experience in data engineering and machine learning. Currently serving as the Lead Data Science Engineer at Carvana since July 2019, Charles Zhan is responsible for developing data pipelines, infrastructure, algorithms, and architecture for the car purchasing decision support system, and has successfully implemented the in-house car valuation service with full CI/CD/CT pipelines on Google Cloud Platform. Prior to this role, Charles Zhan led the data team at Keap from October 2015 to July 2019, focusing on building a big data platform and deploying machine learning models. Charles Zhan began a career at Honeywell as a Principal Engineer from August 2008 to September 2015, achieving multiple technical awards for contributions in numerical optimization, fault detection, and pattern recognition. Charles Zhan holds a PhD in Electrical Engineering from Arizona State University and a BS in Automatic Control from Tsinghua University.
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Carvana
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Founded in 2012 and based in Phoenix, Carvana’s mission is to change the way people buy and sell cars. With a continued focus on its customers, technology and innovation, Carvana offers an intuitive and convenient online car buying, selling, and financing experience. Carvana.com enables customers to quickly and easily shop more than 55,000 vehicles, finance, trade in or sell their current vehicle to Carvana, sign contracts and schedule delivery or pickup at one of its patented, automated Car Vending Machines. Carvana is a Fortune 500 company, providing as-soon-as-next-day delivery to customers in over 300 U.S. markets.