Pete Baker

Pete Baker

Vice President, Data Science Product @ Source

About Pete Baker

Pete Baker serves as the Vice President of Data Science Product at E Source, where he focuses on data and AI strategy. He has a strong background in electrical engineering and extensive experience in building software and machine learning products.

Current Role at E Source

Pete Baker serves as the Vice President of Data Science Product at E Source, a position he has held since 2021. In this role, he focuses on data and AI strategy, leveraging his extensive background in data science and product development. His leadership is instrumental in guiding the company's initiatives in building software and machine learning products, as well as developing effective teams to support these efforts.

Professional Background

Pete Baker has a diverse professional background in data science and engineering. Before joining E Source, he worked at Pacific Gas and Electric Company in various roles, including Senior Manager of Data Product Delivery and Principal Data Scientist. His experience also includes a position as Advanced Projects Engineer at SENTIENT ENERGY and a Research Associate at the University of Strathclyde. His career spans multiple years in the San Francisco Bay Area and Glasgow, United Kingdom.

Education and Expertise

Pete Baker studied at the University of Strathclyde, where he earned a PhD in Electrical Engineering from 2006 to 2009. He also completed a Postgraduate Certificate in Advanced Academic Studies (Researcher Development) from 2010 to 2011. Additionally, he holds a BEng (Hons) in Electronic and Electrical Engineering, achieved from 1999 to 2004. His expertise includes enterprise and product architecture, agile coaching, and the deployment of data architectures.

Key Projects and Contributions

Throughout his career, Pete Baker has architected and led significant projects, including the deployment of a common medallion data architecture on Databricks. This initiative resulted in the reuse of hundreds of published datasets, reduced infrastructure costs, increased employee satisfaction, and improved delivery quality. His contributions reflect a strong focus on enhancing data management and operational efficiency.

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