Diana is an environmental data scientist that specializes in utilizing programming languages, such as R and Python, and applies them to various subject matter that include geospatial analysis, remote sensing, statistical analysis, and data visualization. Her years of experience in water quality monitoring, data collection, and chemical analysis complement her programming expertise, creating a comprehensive background in environmental science.
In June 2024, Diana graduated with her Master of Environmental Data Science (MEDS) from the Bren School of Environmental Science and Management. She acted as Data Manager and Product Lead to create an educational toolkit to help students navigate large ensemble climate models and created a python-based web application to display climate variability over time in the Channel Islands Marine Sanctuary.
Her strong foundation in environmental science stems from her experience in stormwater monitoring projects, where she conducted extensive water quality and sediment sampling. This blend of technical programming skills and practical field experience allows Diana to bridge the gap between data collection and meaningful environmental insights.