Bio
Ms. Courtney Stratton is an associate data/solution engineer with experience in environmental data analysis, statistical modeling, and web application development. She is proficient in R Shiny for building interactive data visualization tools and conducting statistical analyses. Ms. Stratton is skilled in managing large environmental data sets, collaborating with multidisciplinary teams, and delivering data-driven solutions for environmental challenges.
Relevant Experience
Web Development
Global Temperature Dashboard Project, United States — Developed an interactive web-based temperature dashboard using R Shiny to visualize land and ocean temperature data utilizing linear regression and statistical significance to illustrate trends from monthly anomaly data spanning from 1850 to 2024.
Ocean Modeling
Heat Wave Forecasting Using Machine Learning, Northeast Pacific Ocean — Led research on the predictability of subseasonal marine heat waves in the northeast Pacific Ocean, resulting in a model with 98 percent predictive accuracy. Applied advanced statistical techniques and data analysis methodologies in R and Python to process and model more than 3 million observations.
Environmental Impact Assessment
Environmental Compliance for Emergency Utility Work, Southern California — Led and coordinated biological assessments for emergency work on transmission and distribution power lines to assist with emergency compliance reports and mitigation efforts.
Education & Credentials
M.S., Earth Sciences, University of California, Santa Cruz, 2024
B.S., Environmental Sciences, University of California, Santa Cruz, 2023
Achievements & Awards
Recipient of Top Undergraduate Environmental Sciences Student Award
Recipient of Support for Undergraduate Research in Geology and Environmental Science Award
Recipient of Richard Libby Scholarship
Recipient of Undergraduate Research in Science and Technology Grant