During February 2025, Jzaissbo developed a MATLAB-based data visualization and testing workflow for the MITgcm-contrib/ecco_darwin repository, focusing on Gulf of Mexico (GoM) regional outputs. They created the GoM_test.m script, which reads binary temperature (THETA) and oxygen (O2) fields along with a grid mask, applies region-specific masking, and generates plots using tailored colormaps. This approach streamlined quality assurance and validation by enabling repeatable, collaborative data verification. Leveraging skills in data processing, scientific computing, and MATLAB, Jzaissbo’s work established a foundation for consistent GoM data validation, though the scope was limited to a single feature during the month.