LinkedIn • GitHub • Website • Google Scholar
I'm a Data Scientist and PhD Researcher at the Museo Nacional de Ciencias Naturales (MNCN-CSIC) in Madrid, Spain.
My background combines professional experience in machine learning, predictive analytics and data pipelines with scientific research involving large-scale biodiversity datasets, statistical modelling and software development.
- 🔬 Currently: Researching ecological niches and species co-occurrence at large geographical scales.
- 💻 Building: NHEX, an interactive application for environmental niche modelling, developed with Python, Dash and R.
- 📊 Previously: Worked as a Data Scientist in the energy sector, developing forecasting models and automated data workflows.
- 🤖 Learning: AI Engineering at 4Geeks Academy, including AI-assisted development, LLM applications and agentic systems.
- 🌍 Interested in: AI Engineering, Applied AI, Data Science, scientific computing and building useful software.
Programming & Data
- Python · R · SQL · Pandas · NumPy
Machine Learning & Analytics
- scikit-learn · TensorFlow · Keras · Statistical Modelling · Predictive Analytics
Applications & Visualization
- Dash · Streamlit · Plotly · Matplotlib · ggplot2 · Power BI · QGIS
Development & Automation
- Git · GitHub · GitHub Copilot · Codex · REST APIs · n8n · VS Code
Currently Exploring
- AI Engineering · LLMs · RAG · AI Agents · FastAPI · Docker · Backend Development
An interactive scientific application for multidimensional environmental niche analysis, combining Python/Dash interfaces with R-based statistical computation.
Stack: Python · Dash · R · Plotly
An automated workflow that integrates the OpenFoodFacts and Groq APIs to retrieve food product information and generate nutritional feedback using an LLM.
Stack: n8n · JavaScript · REST APIs · Groq
An interactive finance management application for tracking expenses, savings and housing goals, using Python, Streamlit and Google Sheets.
Stack: Python · Streamlit · Pandas · Google Sheets API
A personal art portfolio built from scratch to showcase textured acrylic paintings. Designed as a responsive static website with semantic HTML, accessible navigation, Schema.org microdata and optimized WebP imagery.
Stack: HTML5 · CSS3 · GitHub Pages
Links: Live website · Source code
- PhD in Ecology (ongoing) — Universidad Autónoma de Madrid / MNCN-CSIC | 2024–Present
- AI Engineering Program (in progress) — 4Geeks Academy | 2026–Present
- MSc in Data Science and Business Analytics — IMF / UCAV / Indra
- MSc in Ecology — Universidad Autónoma de Madrid
- BSc in Biology — Universidad Rey Juan Carlos
My research has resulted in peer-reviewed scientific publications and presentations at national and international conferences.
Open to opportunities in Data Science, Applied AI and AI Engineering.


