I am a driven mathematician with a deep-seated passion for transforming complex datasets into meaningful insights. I have graduated in the University of Salamanca, and hold a solid foundation in statistics, linear algebra, and optimization. I have a solid tech knowledge:
Data Science & ML: Proficiency in Python for data processing, visualization, and building predictive models.
Database & Tools: Experience with SQL for querying and GitHub for version control.
Emerging Tech: Foundational knowledge in MLOps, AI models, and basic AWS cloud services knowledge.
With an international perspective gained through an Erasmus exchange in Germany, I perceived myself as an adaptable professional who functions effectively in diverse, structured environments. I can develop predictive models for diverse sectors—such as market trends and weather patterns—and is committed to leveraging mathematical rigor to drive innovative, data-driven solutions.
I value clear problem-solving, accuracy in results, and learning quickly so I can contribute from day one.
With this foundation, I’m ready to grow further by taking on hands-on analytics and reporting challenges.