I'm Iñigo Aguilera Goiriena, a data scientist and marine scientist passionate about combining environmental science, machine learning, and quantum computing to tackle real-world problems—especially in climate, meteorology, and renewable energy.
I’m currently working as a Data Science Researcher at Ayesa/Ibermática, implementing Quantum Neural Networks, performing image processing for anomaly detection, and developing predictive models for floating offshore wind turbines. My interdisciplinary background fuses marine sciences, meteorology, and AI.
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Languages & Tools: Python · MATLAB · Simulink · R · Microsoft Office
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Libraries/Technologies: scikit-learn · PyTorch · TensorFlow · Pennylane · Qiskit · Pandas · NumPy · Matplotlib · Seaborn · keras · OpenCV · openai
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Technologies of Interest: Quantum Machine Learning (QML), Time Series Forecasting (LSTM, ARIMA), Image Analysis, Environmental and Climatological Modeling, Remote Sensing and Renewable Energy Analytics
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Master’s in Mathematical and Computer Engineering – International University of La Rioja (2023–2025)
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Master’s in Meteorology and Atmospheric Sciences – ESNECA Business School (2022–2023)
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BSc Hons in Marine Sciences and Oceanography – University of Plymouth, UK (2019–2022)
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IBM Data Science PRofessional Certificate
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IBM Machine Learning for Data Science Projects
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Foundational MATLAB
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Programming with Python – UNIR
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Cambridge Advanced Certificate (C2)
Data science projects combining AI/ML or quantum computing related to environmental analysis, meteorology, oceanography, climate modeling, remote sensing or renewable energy systems.
🇪🇸 Spanish: Native
🇬🇧 English: Proficiency (C2)
I'm also a certified surf instructor and lifeguard.