Project engineer with experience in Oil&Gas and Shipping Ops, with a master in Data, Data Engineering and AI.
I bring experience in project coordination and operational analysis, complemented by academic and personal projects in Python, machine learning, Power BI and cloud deployment. My portfolio includes learning projects and prototypes using Azure, Databricks and MLflow.
"From heavy industry to artificial intelligence: I transform data into decisions."
Tools explored through coursework and projects; the repository descriptions explain their scope.
| Project | Description | Stack |
|---|---|---|
| churn-mlops-databricks | Learning project covering data preparation, model training, MLflow tracking and Databricks serving | Python · PySpark · Databricks · Delta Lake · MLflow |
| azure-price-scraper | HTTP-triggered Azure Function for extracting product names and prices from compatible HTML | Python · Azure Functions · requests |
| powerbi-dashboards | Business intelligence dashboards for KPI monitoring with Power BI | Power BI · DAX · SQL |
- Master in Big Data, Data Engineering and AI — ESESA Business School (2025-2026)
- Financial Analysis and Modeling Professional Certificate — Corporate Finance Institute (CFI), LinkedIn Learning
- MLOps Essentials: Monitoring Model Drift and Bias — LinkedIn Learning
- Complete Guide to Python Fundamentals for MLOps — LinkedIn Learning
- 42 Málaga — Fundación Telefónica (C, Linux, DevOps)
- Python and machine learning — Strengthening fundamentals and model evaluation
- MLOps — Experiment tracking, serving and reproducible workflows
- RAG — Retrieval, generation and evaluation in small prototypes
⭐ Open to opportunities in Data roles — Product / MLOps — Málaga, Spain