Daniel Pérez is an accomplished Enterprise Solutions Architect at Databricks since May 2021, specializing in implementing Lakehouse platforms, Streaming, Machine Learning, and Analytics projects. Prior to this role at Databricks, Daniel served as a Customer Success Engineer and achieved significant advancements in operations research and advanced analytics at American Airlines between February 2018 and May 2021. Daniel's expertise includes the design and implementation of Machine Learning solutions, data wrangling, and predictive modeling. Academic credentials include a Master of Science in Applied Statistics and Data Analytics from Southern Methodist University and a Bachelor in Mechatronics from Tecnológico de Monterrey. Experience also includes roles at Accenture, Schlumberger, and F.EE GmbH, demonstrating a strong foundation in engineering and technical consulting.
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