Python developer based in Madrid. Here's my story.
I write Python — web backends, data pipelines, and automation tools. Over the past year I've built seriously across all three. Here's how I got here and where I'm going.
Completed 100 Days of Code. Open to junior Python developer and data analyst roles — Madrid or remote.
Focus Areas
Web
I build full-stack Flask applications with SQLAlchemy models, REST API endpoints, WTForms, user authentication, and deployed production environments. Clean routing, reusable Jinja templates, and structured architecture throughout.
Data
I work with real datasets using Pandas for cleaning and transformation, and Matplotlib and Seaborn for visualization. I've trained models with scikit-learn — regression, classification, clustering — and done deep learning with TensorFlow and Keras.
Software
I build modular Python programs: CLI tools, automation scripts, web scrapers, and desktop apps. The focus is always clean structure, readable logic, and code that does what it says.
My Story
How I got here
Before
Audio Engineer — SAE Institute Madrid
I trained as an audio engineer, working with musicians, mixing sessions, and short film productions. I was good at the technical side — precision, clean output, working under deadline pressure. But I kept hitting a ceiling. The work wasn't giving me the kind of complexity I was looking for.
Pivot
Python & Algorithms Training
Code did it. I found Python and something clicked in a way audio engineering never quite had. The structure met the creativity, and it matched how I actually think. The transition wasn't casual — formal Python and algorithms training from the ground up.
Level up
AI, Machine Learning, Data Science & SQL
Went deep: AI and machine learning, data science, SQL — on top of coding three to four hours every day. 750+ hours of structured training across the full stack.
Now
100 Days of Code — completed
The projects on this portfolio are the result. Deployed applications, data analysis, automation tools — built to a real standard, not just submitted as exercises.
What the audio world gave me has carried over directly: precision, the ability to iterate under pressure, and an intolerance for sloppy output.
Where I am Currently
I write Python. Specifically: Flask web applications, SQL databases, data analysis with Pandas, and predictive models with scikit-learn. Over the past year I've put in 750+ hours of structured training across Python, AI, data science, and SQL — on top of coding three to four hours every day.
The projects on this portfolio are the result. Deployed applications, data analysis, automation tools — built to a real standard, not just submitted as exercises.
Where I am going
I'm looking for a junior Python developer or data analyst role — ideally at a company working on something that matters, whether that's sustainability, inclusion, or just genuinely useful technology.
I'm early in my career, I code every day, and I improve fast. If you're hiring for someone who brings Python skills and a non-standard background — let's talk.
Want to get in touch?
I'm open to junior roles in Python development and data analysis.