COO @ Canonical Green

1+ years

At Canonical Green, we offer data science-based solutions for the ecological transition of the Industry 4.0. My role in this company consists of:

• Utilizing advanced data analytics and visualization to gain insights into our clients' needs and objectives.
• Leading the design, development, and implementation of scalable AI solutions.
• Conducting commercial and technical presentations to generate interest in our products and to secure funding.

Highlight: My pitch at the European Parliament.

Data Scientist @ Komorebi AI

3 years

• Data cleaning, manipulation and visualization.
• Design, train and deployment of machine learning and deep learning models with scikit-learn, including GB and CNN.
• Development of a dashboard to guide industrial decision making with Streamlit.

Data Science Collaboration @ Airbus DS

1 year

As part of my industrial PhD, I collaborated with Airbus Defense and Space on Project ATENEA. We developed AI vision models to automatically detect defects during ultrasound inspection of fan cowls.

Junior Data Scientist @ Foqum

6 months

In Foqum I took my first steps in the professional work. They taught me about:

• Tools for collaborative work: Github, Slack, Trello...
• Good practices on coding and presenting results.
• My first AI project: non-intrusive load monitoring.

Researcher & Professor @ IE University

1+ years

Researcher of IE Research Datalab, and manager of its blog.

Professor of "Computer Programming I" with Python (1st-year course) in the Bachelor's Degree in Applied Mathematics.

• Specialize in teaching students from the ground up.
• Create custom exercises tailored for mathematical applications.

Highlight: I taught students how to properly use Chat-GPT to improve the quality of their work.

PhD in Data Science @ UCA

4 years

"Applications of Machine Learning and Data Science to the Blue Economy: Sustainable Fishing and Weather Routing" done under the supervision of David Gómez-Ullate.

• Collaboration with various industrial partners to conduct cutting-edge research in healthcare, energy and blue economy.
• Presentation of research findings to both technical and non-technical audiences.
• Publication of research papers in peer-reviewed journals.

Highlights:

• My thesis was awarded Cum Laude.
• Award at international sustainability hackathon.
• Award at international Computer Vision competition.
• I helped during COVID by analysing the effectiveness of non-pharmaceutical interventions.

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.