I'm Rayele Moreira, a data professional with a PhD in Biotechnology and postdoctoral research at Georgia Tech. I work at the intersection of machine learning, statistical analysis, and real-world problem solving, with a focus on building end-to-end analytic solutions that turn complex data into defensible decisions.
My background combines applied research training with hands-on data science, over 1,000 hours of formal training in quantitative analysis, statistics, and Python, plus independent projects across healthcare data, classification under class imbalance, graph-based optimization, and model interpretability.
Most of the work pinned below is end-to-end: from data exploration through modeling to interpretable results and practical framing of the outputs.
🔬 Current focus: machine learning, statistical analysis, model interpretability (SHAP), and translating domain questions into rigorous analytic frameworks.
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Vamos transformar dados em conhecimento!