🚀 Research Engineer | Data Science Enthusiast | Project-Driven Learner
- 📍 Based in: Valladolid, Spain
- 👨🔬 Current Role: Research Engineer at CARTIF
- 🎓 Academic Background:
- MSc in Big Data Science & Artificial Intelligence
- Double Bachelor’s Degree in Industrial Engineering and Business Administration
- 🔍 Main Interests: Data Science, Machine Learning, Python Development, and Applied Research
Programming Languages
- Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow/Keras)
- SQL (PostgreSQL, MySQL)
Data & ML
- Data Wrangling, EDA, Statistical Modeling
- Machine Learning, Deep Learning, Clustering
- Dashboards: Tableau, Power BI
Other Tools
- Git & GitHub | Jupyter | Docker | VSCode
- LangChain | RAG | OpenAI APIs
Python library for estimating mutual information and quantifying uncertainty using conformal prediction.
Core goals:
- Evaluate classical and modern estimators (k-NN, KDE, MINE)
- Generate synthetic datasets with known I(X;Y)
- Implement prediction intervals for robust scientific use
Outcome: Modular and reproducible open-source package for researchers and practitioners.
Simulation of origin-destination matrices to model and optimize urban mobility in Valladolid.
Tools: Python, SimPy, NumPy
A business analysis of declared corporate values in the Spanish stock market.
Methods: Qualitative coding, trend extraction, visualization
- Advanced Deep Learning Architectures
- Information Theory & Estimation
- NLP with Transformers and LLMs
- Applied GenAI for real-world solutions
Thanks for visiting my profile! Feel free to explore my repositories or reach out for potential collaborations.