Aitana Martínez

I am a data scientist and engineer with experience in the banking sector, focused on building responsible AI and machine learning solutions. I combine strong SQL analytics and customer segmentation expertise with practical deep learning and NLP skills.

In my professional role I optimized SQL targeting in Adobe Campaign to drive significant revenue and developed Python ML models that achieved 80–90% accuracy on large-scale transaction classification. I engineer end-to-end data and ML pipelines using Python and SQL.

My academic background includes a Bachelor's in Data Science and Engineering and ongoing full-time Master's studies in Artificial Intelligence, with projects on neural-network-based 5G/6G resource allocation and signal-interference reduction. I have also completed coursework in mathematics and computer science at Sorbonne University.

I emphasize explainable and responsible AI, using tools like SHAP and LIME, and I deploy models with MLOps practices (MLflow, Docker, FastAPI). I aim to develop and deploy robust, ethically-aligned intelligent systems at scale.