01. About Me
As a Telecommunications Engineer with a deep passion for data analysis and Machine Learning, my curiosity naturally led me to specialize in Sports Analytics. I apply statistical models and algorithms to understand and predict athletic performance.
With hands-on experience in Python, SQL, and Big Data tools like Spark, I enjoy the full data lifecycle—from raw data processing to building interactive visualizations and predictive models that provide clear answers to complex questions.
Currently, I'm enhancing my skills through a postgraduate program in Sports Analytics at UPC & Barça Innovation Hub. As a triathlon and football enthusiast myself, my goal is to bridge the gap between technology and sports, creating tools that offer a real competitive edge.
02. Professional Experience
Network Engineer @ Indra
Sep 2023 – Present
- Develop and test Software-Defined Networking (SDN) protocols using Python and Java within Dockerized environments.
- Design and integrate REST APIs for network automation and service orchestration, improving real-time monitoring.
- Collaborate in international Agile teams, delivering features within two-week sprints and contributing to CI/CD pipelines.
Collaborator (Part-Time) @ Race Pace
August 2025 – Present
- Contributing to the development of predictive models for athletic race performance.
- Building and maintaining data pipelines to process and analyze athlete training data.
- Collaborating with a startup environment to translate data insights into product features.
Network Full-Stack Developer Intern @ Axians
2022 – 2023
- Automated DNS functionalities via web services (PHP & Python), reducing manual configuration errors by over 50%.
- Managed Linux-based servers and deployed internal web solutions for IT operations.
Support Consultant @ Framer
2023
- Provided technical and billing support to a global user base, resolving hundreds of tickets weekly.
- Created internal documentation to streamline support workflows and improve response times.
03. Technical Skills
Programming & Data Libraries
- Python
- SQL
- Pandas / NumPy
- Scikit-learn / XGBoost
- Streamlit / Plotly / Altair
- SHAP (ML Explainability)
Databases & Big Data
- PostgreSQL / MySQL
- MongoDB (NoSQL)
- Valkey (Redis-compatible)
- Spark with Python
- FastAPI
Tools & DevOps
- Git & GitHub
- Docker
- Linux CLI & Bash Scripting
- REST APIs
- Prometheus & Grafana
- Vercel / Streamlit Cloud
04. Featured Projects
Transfermarkt Pipeline
Full pipeline to scrape Transfermarkt player data, expose it via FastAPI, and visualize it with Streamlit.
- JavaScript
- Chart.js
- HTML/CSS
05. What's Next?
Get In Touch
I'm actively seeking new opportunities in Data Science and Sports Analytics. If you have a project in mind or believe my profile would be a great fit for your team, I'd be excited to connect.
Say Hello!