Bio
Ms. Courtney Stratton is a 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
San Lorenzo Lagoon Management Web Application, Santa Cruz, California — Developed a web application to support client decision-making in lagoon management operations. The tool provided an interactive interface for visualizing lagoon conditions and supporting beach and lagoon management planning—enabling clients to make informed, data-driven decisions in response to dynamic environmental conditions.
Data Analysis and Dashboard Development, Satellite Beach, Florida — Supported a nonprofit organization by developing an interactive dashboard to streamline internal reporting workflows. Conducted data analysis and translated results into clear, accessible visualizations to help the organization communicate program outcomes and support data-driven decision-making.
iDEP, United States — Developed the Integral Data Exchange Portal (iDEP), a client-facing web application enabling clients to view, access, and download project data through a centralized, user-friendly interface. The portal streamlined data access workflows by replacing manual file transfers with an organized, permission-based system supporting data analysis, document generation, and structured data entry—reducing administrative overhead and improving client experience across multiple concurrent projects.
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.
Modeling
Machine Learning for Bird Flight Detection, Offshore Wind Development, United States — Applied machine learning techniques to radar-track data to characterize bird flight patterns in support of an environmental review for offshore wind development. Developed and trained a Random Forest classification model to identify and differentiate bird flight behaviors from radar signatures, providing a data-driven approach that can be used for avian collision risk and informing mitigation strategies for offshore wind facilities.
Oil Spill Trajectory Modeling and Environmental Risk Assessment, Atlantic Ocean — Applied NOAA GNOME (General NOAA Operational Modeling Environment) to simulate oil spill trajectories and assess environmental risk for impacted water bodies and shorelines. Compiled and synthesized modeling outputs, technical documentation, and supporting data into comprehensive environmental risk assessment reports to verify spill response and mitigation.
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
Water Quality Monitoring and Reporting, San Francisco, California — Supported environmental water quality monitoring programs through data management, statistical analysis, and regulatory reporting. Compiled and analyzed monitoring data sets to evaluate compliance with applicable water quality standards and permit conditions. Prepared summary reports structured to meet agency reporting requirements.
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
Continuing Education
OSHA 40-Hour HAZWOPER
First Aid/CPR/AED Certified
Achievements & Awards
Top Undergraduate Environmental Sciences Student Award
Support for Undergraduate Research in Geology and Environmental Science Award
Richard Libby Scholarship
Undergraduate Research in Science and Technology Grant