Andrew Brunskill

Andrew Brunskill

Director Of Data Science, Co Founder @ Clir Renewables

About Andrew Brunskill

Andrew Brunskill is the Director of Data Science and co-founder of Clir Renewables, where he has worked since 2017. He has a background in engineering and consulting, with previous roles at SgurrEnergy, DNV GL, and Cooper Standard.

Current Role at Clir Renewables

Andrew Brunskill serves as the Director of Data Science and Co-Founder at Clir Renewables. He has been with the company since 2017, contributing to its mission of enhancing renewable energy performance through data analytics. His role involves leveraging data science techniques to provide insights that improve the operational efficiency of wind farms. Clir Renewables is based in Waterloo, Ontario, Canada.

Previous Experience at SgurrEnergy

Before joining Clir Renewables, Andrew worked as a Senior Consultant at SgurrEnergy from 2015 to 2017. During his time in Oakville, Ontario, Canada, he focused on providing consultancy services related to renewable energy projects. His experience at SgurrEnergy helped him develop expertise in the analysis and optimization of wind energy systems.

Professional Background at DNV GL

Andrew Brunskill has extensive experience at DNV GL, where he held multiple roles from 2010 to 2015. He worked as a Project Manager and Engineer, and also served as a Windfarmer Specialist from 2012 to 2015. His work involved managing projects and providing specialized knowledge in wind energy, contributing to the development and assessment of wind farm projects.

Educational Background

Andrew completed his Bachelor of Arts degree at the University of Waterloo from 2003 to 2008. He furthered his education at the University of Guelph, where he studied from 2008 to 2010. Earlier, he attended Stratford Central Secondary School from 1998 to 2003, laying the foundation for his academic and professional pursuits in engineering and data science.

Contributions to Industry Knowledge

Andrew co-authored a blog post discussing how quality data enables deeper insights into wind farm performance. This contribution reflects his commitment to sharing knowledge and advancing the understanding of data's role in optimizing renewable energy operations.

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