Drew Holt

Senior Data Scientist @ WP Engine

About Drew Holt

Drew Holt is a Senior Data Scientist at WP Engine in Austin, Texas, specializing in machine learning, data analytics, and strategic decision-making.

Senior Data Scientist at WP Engine

Drew Holt currently serves as a Senior Data Scientist at WP Engine in Austin, Texas, United States. In his role, Drew develops advanced machine learning models for clustering and forecasting. He utilizes tools like Google BigQuery for data analytics and Google Cloud Functions for model deployment. By leveraging these technologies, Drew helps optimize operations and drive growth for WP Engine through data-driven insights.

Career at WP Engine

Drew Holt has a comprehensive career at WP Engine, spanning multiple roles. Before becoming a Senior Data Scientist, he worked as a Data Scientist. Previously, he was a Senior Customer Experience Analyst from 2017 to 2020. His journey at WP Engine includes roles as Enterprise Support Tier II (2016-2017), Enterprise Support Tier I (2015-2016), and Technical Support I (2014-2015). Each role has contributed to his deep understanding of the WP Engine ecosystem and his ability to provide data-driven solutions.

Store Manager at Paradise Pen Company

From 2011 to 2014, Drew Holt worked as a Store Manager at Paradise Pen Company in Austin, Texas. In this role, he managed daily store operations, including sales, customer service, and inventory management. Drew's experience in a retail environment has equipped him with essential managerial and operational skills that have been useful throughout his career.

Education: Bachelor of Arts in History

Drew Holt achieved a Bachelor of Arts in History from The University of Alabama, where he studied from 2005 to 2010. During his time at the university, he also worked as a Lab Monitor from 2007 to 2009. His education provided a solid foundation in research and analytical skills, which he has applied in his subsequent roles in data science.

Technical Expertise and Tools

Drew Holt specializes in developing machine learning models for clustering and forecasting. He employs various technical tools and platforms to support his work. Google BigQuery is used for data analytics, while Google Cloud Functions assist in model deployment. For efficient ETL processes, Drew utilizes dbt, and he applies statistical analysis to guide business leaders in strategic decision-making.

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