Maggie Campbell has been working in the field of renewable energy and atmospheric sciences since 2012. In 2012 and 2013, they worked as a Research Assistant at the Earth and Atmospheric Sciences Department at the University of Alberta. During this time, they executed oceanographic computer models, wrote Matlab programs to improve model output efficiency, plotted model output trajectories, and presented results and analysis for poster presentations.
From 2015 to 2018, they worked as a Teaching Assistant at the Earth, Ocean, and Atmospheric Sciences Department at the University of British Columbia. In 2018, they also worked as a Numerical Weather Prediction Analyst at the Weather Forecast Research Team at the University of British Columbia. During this time, they ran HYSPLIT atmospheric dispersion model within numerical forest fire smoke forecasting framework, analyzed model output and fine-tuned model parameters to improve forest fire smoke forecasts, and retrieved big weather data from database, cleaned and organized data for clients.
Since 2019, they have been working as a Renewable Energy Data Analyst at Clir Renewables. In this role, they communicate analysis findings to a variety of client personas, from technical wind farm operators to asset managers and owners. Maggie is also the project manager and lead author of multiple market insights, energy yield, and upgrade validation reports. Additionally, they create visualizations and builds tools in Tableau and Python to perform statistical analysis of wind farm operations, validate wind farm hardware and software upgrades, and communicate return on investment to key stakeholders.
Maggie Campbell completed their Bachelor of Science in Atmospheric Sciences and Meteorology from the University of Alberta in 2013. Maggie then went on to pursue a Master of Science in Atmospheric Sciences and Meteorology at The University of British Columbia, which they completed in 2018.
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