I will be completing a Master of Data Science (MDS) degree at the University of British Columbia in 2021. Prior to entering the MDS program, I worked in water resources as a senior engineer and I am working on a part-time basis in this area as I complete my degree. While working in water resources, I developed an interest in applying machine learning to support analyses typically approached using more traditional methods, as well as the use of interactive applications to better communicate results and uncertainties. After several years of informal learning using R and Python, I am completing the Masters degree to further develop in these areas of interest.
I have over 11 years of consulting experience including the management of hydrology data collection programs, data analysis, probabilistic water balance and energy modelling, development of in-house data analysis and visualization tools, and open channel numerical modelling. I have worked on projects in the hydropower and mining sectors ranging from conceptual design and project viability assessments to environmental permitting and operational modelling.
Master of Data Science, In Progress
University of British Columbia (Okanagan)
Bachelor of Applied Science (Civil Engineering), 2008
University of British Columbia (Vancouver)
Shiny R application hosted on AWS to explore Water Survey of Canada hydrometric data and conduct data summarization and flood frequency analysis
Shiny R application hosted on shinyapps.io to bulk download Environment Canada climate data and view summaries of available/missing data
Building Interactive Tools: