Madrid, Comunidad de Madrid ESP
+34 630 198 595
Data Analytics (Data Storytelling, Business Analytics, Data Mining), Data Science (Data Cleaning, Data Preprocessing, Python, Statistics, Probability, Data Modeling, Data Storytelling), Artificial Intelligence (Deep Learning, Classical Machine Learning, Supervised Learning, Unsupervised Learning)
Programming Languages: R, Python, SQL
Toolsets/OS: Ubuntu, Git/GitHub, Windows, LaTeX, Office 365 (Excel, Word, PowerPoint)
Libraries: PyTorch, TensorFlow, Numpy, Pandas, Matplotlib, Seaborn, H2O, Scikit-learn, XGBoost, LightGBM, CatBoost
Cloud: Amazon ECS, Amazon Lambda, Amazon EMR, Apache Spark, Apache Hive, Apache Knox, Docker / Podman
Universidad Nacional de EducaciĆ³n a Distancia, Spain
Master of Science, Data Science and Data Engineering
2024 - 2025
Business School of Barcelona, Barcelona, Spain
MBA, Business Administration and Management
2023 - 2025
Business School of Barcelona, Barcelona, Spain
Master's degree, Big Data and Business Analytics
2023 - 2025
Rey Juan Carlos University, Madrid, Spain
B.Sc., Biomedical Engineering
2018 - 2023
Complutense University, Madrid, Spain
B.Sc., Dentistry
2017 - 2018
Data Scientist, sherpa.ai
I have led several lines of research regarding Federated Learning. I have also led use cases and projects.
2023 - toda
Biomedical Engineer, Hospital Universitario Rey Juan Carlos
I was on a team in charge of deploying a life's biosensor.
2022 - 2023
Support Engineer, vordis technologies
I was in charge of VoIP incidences, as well as other SaaS technologies.
2021 - 2022