Greater Madrid Metropolitan Area
I’m a Physics graduate (Computational track) currently pursuing an MSc in Big Data Science. I turn messy information into clear, decision-ready insights through analytical thinking and hands-on data work. Focus areas: data analysis, applied machine learning (including deep learning foundations), and communicating findings through dashboards and concise storytelling. What I’ve built (academic projects): Python analytics and ML prototypes, plus Power BI dashboards to explore patterns, evaluate models, and present conclusions clearly. Professional experience: during a 3-month internship in Strategy & Organizational Transformation, I transformed data/documentation into actionable conclusions and structured benchmarking outputs (Excel/PowerPoint). I’m targeting junior Data Analyst / Data Scientist roles in English-speaking environments and I’m open to relocation.
Produced a 20-page synthesis transforming existing documentation and datasets into structured conclusions to support internal decision-making (Excel/PowerPoint). Conducted benchmarking and consolidated an Excel repository of 30–40 initiatives, documenting description, potential impact, and relevance to the proyect. Systematized the analysis of organizational values and purpose by grouping entities into categories and extracting patterns to propose coherent alternatives aligned with project goals.