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Aitor Goitia Zugazaga

@aitorgoitiazugazaga

Junior Data Scientist in training, focused on real-world ML, time series, and geospatial insights.

Spain
Message

What I'm looking for

I’m looking for a role where I can keep learning, contribute from day one, and grow with a team—especially on projects with real-world utility like time series, geospatial data, and applied machine learning.

I’m a data science student in training, driven by curiosity and the real-world utility of what I build. I adapt quickly to new contexts and enjoy turning data into practical outputs that people can use.

In my internship at Tecnalia, I processed millions of cadastral records and geospatial coordinates across autonomous regions and a major city, including advanced feature engineering. I developed and deployed XGBoost multiclass classification models, and automated the generation of maps and polygons from geospatial data.

At Cluster GAIA — BasqueData, I worked on time series forecasting using LSTM, SARIMAX, and XGBoost for different water flows across multiple municipalities. I integrated models with a SQL-based alarm system using time windows to detect anomalies in water consumption, and contributed to BI dashboards for strategic decision-making.

Beyond core data work, I also support learning and technology adoption by delivering robotics workshops as a substitute teacher, preparing students for a sumo robot combat competition. I bring that same hands-on, responsibility-focused mindset to data projects—planning, iterating, and presenting results rigorously.

Experience

Work history, roles, and key accomplishments

HP
Current

Robotics Assistant / Teacher

Habilitas Creative Play

Apr 2026 - Present (2 months)

Substituted as a robotics workshop teacher, preparing students from scratch for a sumo robot combat competition and supporting them through the event. Fostered student interest in technology and computational thinking through hands-on workshop delivery.

TE

Junior Data Scientist

Tecnalia

Nov 2025 - Jul 2026 (8 months)

Preprocessed millions of cadastral records and geospatial coordinates across two autonomous regions and a major city, delivering advanced feature engineering for geospatial ML pipelines. Developed and deployed XGBoost multiclass classification models and produced interactive Dash/Streamlit map-based outputs for non-technical users.

Education

Degrees, certifications, and relevant coursework

University of Deusto logoUD

University of Deusto

Bachelor's degree, Data Science and Artificial Intelligence

2021 - 2026

Activities and societies: Participated in the University of Deusto debate team for one year.

Bachelor's degree in Data Science and Artificial Intelligence at University of Deusto (2021–2026), focusing on applied data science and AI projects.

Tech stack

Software and tools used professionally

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