Data Scientist / ML Engineer | Python, ML | Help businesses make data-driven decisions and build ML based-data products

• 🌍 I'm based in Madrid
• ✉️ You can contact me at [email protected]
• 6+ years in developing end-to-end ML data-based products: gathering initial requirements, discussions with business stakeholders, use cases definition, exploratory analysis, ETL pipelines, ML models, evaluation & A/B testing, model monitoring and production
• Expertise in applying Machine Learning to solving business use cases, from initial prototypes to production ML-based products following MLOps best practices
• In-depth understanding of Python
• Experience in Functional and Object-Oriented Programming styles
• Highly experienced in dealing with high dimension datasets using Spark
• Knowledge of Cloud platforms, especially Google Cloud Platform
• Good exposure to CI/CD best practices using Jenkins and GCP
• Highly sklled in SQL and working with data warehouses
• Worked for industry clients in the telco and banking sectors

• Python ML & DL toolkit: Scikit-learn, Lightgbm, Tensorflow (Keras), Pytorch, Spacy
• Data processing: Numpy, Pandas
• ETL orchestration: Luigi, Apache Airflow
• Data visualization: Matplotlib, Seaborn, Plotly
• Cloud Services: GCP (Vertex AI, Cloud Dataproc, Cloud Build, BigQuery), AWS (Sagemaker, EMR)
• Docker
• IDEs: Jupyter-lab, Pycharm, IntelliJ
• Web development with Nodejs and Flask

• Automatic generation of sport news using NLP techniques and ranking systems (Universidad Rey Juan Carlos Madrid, 2021)
• Design and implementation of initialization techniques for Deep Learning algorithms (Universidad Politécnica de Madrid, 2018)