Nathan Smith

Nathan Smith

Data Science | Water Resources

Knight Piesold Ltd.

Solving problems in the mining, renewable energy, and water resource management sectors using data science coupled with a background in water resource engineering. Applying machine learning to support analyses typically approached using traditional methods and building interactive applications to better communicate results and uncertainties.

Over 11 years of consulting experience including management of hydrology data collection programs, data analysis, probabilistic water balance and energy modelling, development of in-house data analysis and visualization applications, and open channel numerical modelling. Experience in conceptual design and project viability assessments to environmental permitting and operational modelling.

Education

  • Master of Data Science, 2021

    University of British Columbia (Okanagan)

  • Bachelor of Applied Science, 2008

    University of British Columbia (Vancouver)