Christopher Chávez is a Senior ML Engineer at Salesforce who collaborates as a Visiting Student Researcher at UC Berkeley. With experience in data science, complex systems, and mobility, Christopher has worked in various roles, including Data Engineer at Microsoft and Tech Lead at Credijusto.com. Currently, Christopher conducts research on the impact of commuting times on informal employment, utilizing location-based services data. Christopher holds a Master's degree from the Instituto Tecnológico Autónomo de México, expected in 2024.
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