Water Availability Modeling with Thornthwaite — R, Climate Data Analysis
Mar. 2025 – Present
Master’s thesis developing temperature- and precipitation-driven models to quantify PET and key water-budget variables across diverse U.S. basins, linking atmospheric variability to hydrologic response.
Integrating LOCA2 downscaled CMIP6 climate data and NCEI observations to evaluate regional variability and improve model performance for long-term forecasting.
Planning to incorporate observed streamflow data to evaluate model performance and expand future water availability projections under changing climate scenarios.
Crop Water Stress Index (CWSI) Modeling — Python, MATLAB, Remote Sensing
Oct. 2024 – May 2025
Modeled water stress using Landsat-8 imagery and custom energy-balance workflows in MATLAB and Python.
Derived vegetation indices (NDVI, OSAVI) and computed fluxes and stress indices from satellite data.
Evaluated model performance through statistical regression and sensitivity analysis.
Experience
Soil/Vegetation Scientist Intern — WSP US (Albuquerque, NM/Remote)
May 2025 – Dec. 2025
Worked on the Mine Closure & Reclamation team, conducting vegetation and rare-plant surveys to support environmental monitoring and closure planning.
Installed, calibrated, and maintained soil-moisture instrumentation (FDR sensors, vadose-zone monitoring systems) to evaluate site hydrologic conditions.
Streamlined climate-data management and reporting by developing R scripts that processed large .dat files and automated table and graph generation.
Emergency Management Specialist — WSP US (Tallahassee, FL/Remote)
May 2024 – Apr. 2025
Support disaster response operations across CONUS through logistics, supply management, cost documentation, and resource coordination.
Deploy to Emergency Field Staging Areas to assist with disaster preparation, active response, and post-disaster recovery efforts.
Maintain operational readiness by completing ongoing training and contributing to effective client service during emergencies.