Daniel Crosson has a strong background in business intelligence, data engineering, and analytics. Daniel has experience working with various tools such as dbt, Python, SQL, Tableau, and Apache Airflow. Daniel's past roles include positions at companies like Washington Nationals, E15 Group, and New York Mets, where Daniel has developed machine learning models, automated data processes, and created data visualizations to drive strategic decision-making. Daniel also has experience in journalism and technology management from their time at The Hoya. Daniel holds a Master of Computer Science degree from the University of Illinois Urbana-Champaign and a Bachelor's degree in Computer Science & Economics from Georgetown University.
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