Internal Title: Quantitative Marine Ecologist; Data Pipelines & ETL: Engineered automated quantitative ecological data pipelines using Python, successfully translating messy, unstructured raw field observations into highly optimized relational databases (SQL) for downstream modeling frameworks; Statistical Modeling: Formulated and deployed univariate (GLMs, GAMs) and multivariate (PCA, ANOSIM, Cluster Classifications) statistical models to process high-dimensional spatial-temporal tracking metrics across complex marine ecosystems, biological populations and ecological communities; Infrastructure Management: Managed data collection integrity, entry frameworks, and pipeline execution standards for international research cohorts, serving as the technical authority for data operations.