Hamza Louzan
Data Scientist @Gates Foundation
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WORK HISTORY
Data Scientist @Gates Foundation
San Francisco, CA, US
Developed a framework for AI explainability using token embeddings and PCA to interpret LLM decision-making, with a focus on diagnosing downstream performance loss in low-resource languages.• Built and deployed production-grade ML models for classification, regression, and screening tasks using Python, PyTorch, and Scikit-learn.• Containerized models with Docker and integrated into CI/CD pipelines via GitHub Actions for scalable deployment.• Led integration of ML solutions into existing systems while aligning with NeurIPS-focused academic research objectives.
EDUCATION
University of San Francisco
Master of Science - MS
Université de Bordeaux
Licence (Bachelor's degree)
ABOUT HAMZA LOUZAN
Data Scientist with 5 years of experience leveraging experimentation, statistical modeling, and cross-functional analytics to drive strategic product decisions. Experienced in designing A/B tests, predictive modeling, and owning KPI development across global-scale systems. Passionate about building data pipelines, guiding ambiguity into action, and communicating insight with business fluency.
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