~/about

About

Hi, I'm Itziar, a Software Engineering student at U-tad (Madrid) with a minor in Data Science & AI, expected to graduate in June 2027. I started programming at 18 by enrolling at DigiPen Bilbao for a B.S. in Computer Science in Real Time Interactive Simulation, then pivoted to Computational Mathematics, and eventually landed on Software Engineering. That path wasn't the most direct, but it gave me a genuinely wide base to work from.

Because of it, I've touched a lot of different areas of programming. A rough breakdown by category:

I enjoy group projects and have naturally ended up leading a lot of them throughout college. I like breaking down a problem into tasks, figuring out who's best placed to handle what, and keeping everyone on the same page. Getting a team to actually ship something on time is satisfying in a different way than solving a technical problem solo.

Mathematics has been a constant thread through everything I've built. Long before studying it formally, I was reaching for it instinctively: linear algebra and matrix transformations for rendering pipelines, calculus and kinematics equations for collision detection and physics simulations, discrete mathematics for graph databases and traversal algorithms, statistics and probability for data analysis and ML models. Three years of Computational Mathematics gave that instinct a rigorous foundation. I now think about algorithms in terms of convergence and numerical stability as naturally as I think about runtime complexity, and I find that the two perspectives sharpen each other.

Outside of code I have a vocational degree in music (violoncello) and ABRSM Grade 8 in both piano and cello, which led to me composing the soundtrack for a college game project. I use Linux as my daily driver and run a home server with Nextcloud, Navidrome, and Vaultwarden, and I tinker with dotfiles for window managers and Vim more than I probably should. I also spent time as a video editor and content collaborator for Paradox Interactive. I think long-term disciplined practice, whether in music or engineering, builds the kind of rigour that shows up in production-quality work.

On the language side, I grew up attending a British school, and later spent several years at a language academy specifically to sit the Cambridge CPE exam and achieve a C2 CEFR certification. Spanish is my native language, and I also have an intermediate level of French. I love languages not just for the doors they open, but because each one gives you a different lens on the world, and I find that genuinely enriching.

I'm currently interning as a Data Analytics Intern at MGA (Jul–Sep 2026, remote), working on business intelligence pipelines, Power BI reports, and predictive models. I'm open to remote data/analytics/ML roles from October 2026 onward — ideally fully remote long-term. From January 2027 I'll have full-time availability (40 hrs/week).

You can download my CV for a concise overview of my background, projects, and technical skills.

If you're looking for someone who writes clean, tested, documented code and grows fast in a data-heavy environment, get in touch.