Senior Data Scientist @ IE University

June 2025 - Present

I lead the data science work in a project focused on the intersection of climate, health, and insurance. I design forecasting tools and statistical models to support long-term decision-making, with the goal of informing pricing and risk strategies. I collaborate closely with experts from both science and business to make the results meaningful and actionable.

COO @ Canonical Green

2 years

At Canonical Green, we offer data science-based solutions for the ecological transition of the Industry 4.0.

• Designed and deployed scalable AI and data science solutions tailored to industrial sustainability challenges.
• Conducted commercial and technical presentations to clients, partners, and public institutions across Europe.
• Secured €93K in funding by winning a competitive grant from Missions València 2030, with our project ranked top by the jury.

Highlight: My pitch at the European Parliament, which helped raise visibility for our work on sustainable shipping.

Data Scientist @ Komorebi AI

3 years

I worked as a full-stack data scientist on projects for industrial clients, building models and decision tools that turned raw data into actionable insights.

• Designed, trained, and deployed ML and DL models (Gradient Boosting, CNNs) using scikit-learn and PyTorch for predictive maintenance and anomaly detection.
• Developed interactive dashboards in Streamlit to support engineers in operational decision-making, from sensor diagnostics to process optimization.
• Built robust data pipelines for cleaning, feature extraction, and visualization across multiple data sources (CSV, APIs, cloud storage).

Data Scientist (Industrial PhD) @ Airbus Defense & Space

1 year

Collaborated with Airbus DS on Project ATENEA to develop AI vision systems for non-destructive testing. My work focused on detecting structural defects in composite aircraft components using ultrasound image data.

• Built and validated CV-based models to classify anomalies in ultrasound scans of fan cowls with increased accuracy and consistency.
• Worked with materials engineers and inspection teams to integrate AI outputs into diagnostic workflows.
• Delivered reproducible pipelines for preprocessing, annotation support, and model evaluation.

Junior Data Scientist @ Foqum

6 months

This was my first professional experience, where I was introduced to collaborative work environments and machine learning project workflows.

• Worked on a non-intrusive load monitoring (NILM) project to estimate appliance usage from aggregate power data.
• Built and tested neural network models using Keras and TensorFlow to disaggregate energy signals.
• Learned industry best practices for version control, reproducibility, and presenting technical results.

Adjunct Professor @ IE University

June 2025 - Present

I teach programming and applied data science to students from very diverse backgrounds. I enjoy helping them go from zero to solving real-world problems with code.

• Design exercises that connect math and data to practical use cases from business and industry.
• Mentor students one-on-one to help them grow in technical confidence and clarity.
• Give presentations during counselor flights to help future students (and parents!) understand the program.
• Support school-wide events and coordinate teaching efforts for specific subjects.

Postdoctoral Researcher @ IE University

2 years

I conducted applied research at the intersection of data science, sustainability, and knowledge transfer, while contributing to undergraduate teaching and public communication of science.

• Developed methods in graph search and variational inference for real-world applications.
• Led the creation and content management of the IE Research Datalab blog to share insights with wider audiences.
• Taught Python and R programming across several bachelor's programs, focusing on foundational thinking and project-based learning.
• Explored how students can ethically integrate AI tools (like ChatGPT) into their learning processes. Example here.

PhD in Data Science @ University of Cádiz (UCA)

4 years

Thesis: "Applications of Machine Learning and Data Science to the Blue Economy" under the supervision of David Gómez-Ullate.

• Collaborated with industrial partners in healthcare, energy, and marine transport on applied ML research.
• Published peer-reviewed research and presented at national and international conferences.
• Used computer vision, evolutionary algorithms, and probabilistic methods for real-world sustainability challenges.

Highlights: Cum Laude distinction -- International awards in sustainability and computer vision -- COVID response research

MSc in Data Science @ UPM

1 year

MSc on Statistical and Computational Information Processing.

Here I learnt all the essential skills for any good data scientist: data analysis, data mining, graphs, neural networks, Big Data, soft computing.

BSc in Physics @ UCM

4 years

I started studying Physics driven by my scientific curiosity and my eagerness for research. I passed with honors four subjects related to Quantum Physics and Astrophysics.