About

Hi, I'm Aitor

Aitor Díez Mateo - Personal Photo

I'm a final-year Computer Engineering and Data Science & AI student at the University of Deusto, applying machine learning to energy systems, optimization, and quantitative problems. My work spans academic research at DeustoTech — three co-authored papers on building energy forecasting and demand-side management — and an applied GenAI internship at McKinsey QuantumBlack.

Outside of research and coursework, I care about ideas that hold up outside the notebook: interpretable models, honest evaluation, and results that still make sense on real data. I'm social by nature, competitive in sports, and enjoy building things end to end.

Experience

Where I've worked

Data Scientist Intern

McKinsey & Company — QuantumBlack · Madrid, Spain

June 2026 – July 2026

  • Built an end-to-end GenAI pipeline that automatically extracts customer intents and interaction patterns from call-center transcriptions, powering data-driven analytics for agent training and coaching programs at scale.
GenAI LLMs Python NLP

Machine Learning Research Intern

DeustoTech — Deusto Sustainable Research Group · Bilbao, Spain

Feb 2025 – June 2026

Researched data-driven methods for building energy systems under the supervision of Dr. Roberto Garay-Martinez, co-authoring three peer-reviewed papers (see Publications).

  • Built a hybrid short-term load forecasting framework (K-Means clustering, SVM classification, regression) that decouples daily load shape from peak magnitude, reaching R² = 0.83 and a 26% improvement in explained variance over the strongest baseline.
  • Designed a rule-based method (ATBD) to identify residential EV charging events from aggregate household consumption, without sub-metering or private user data.
  • Developed a heat-pump demand-side management algorithm driven by wholesale electricity prices, cutting daily peak loads by up to 60% and annual energy costs by 2.5% on a real multi-rise building dataset.
Python Time Series Clustering Forecasting Energy Systems

Education

Academic background

Dual B.Sc. in Computer Engineering and Data Science & AI

University of Deusto, Bilbao, Spain

Sept 2022 – June 2027

Average grade: 9.30 / 10

Highest honors in ~40% of courses

2026
NLP Reinforcement Learning Web Engineering Operating Systems Advanced Machine Learning Knowledge Management Software Design
2025
Information Advanced Modelling Big Data Processing (PySpark) Deep Learning (PyTorch)
2024
Databases (SQL) Application Programming (Java) Programming Methodology & Languages Data Science (R) Advanced Statistics Low-Level Programming (C/C++)
2023
Calculus Computer Structure

Academic Exchange Program

Wilfrid Laurier University, Waterloo, ON, Canada

Sept 2026 – Dec 2026

Recognition

Publications & Achievements

Publications

  • Hybrid Machine Learning Approach for Short-Term Load Forecasting in Small Commercial Buildings ITISE 2026 (Engineering Proceedings, MDPI)
  • Algorithmic Thresholding and Baseline Detection for Residential EV Charging Event Identification Splitech 2026
  • Structured Analysis of Heat Pump Usage in Buildings and Load Optimization for Optimal Management of Loads Splitech 2026

June 2026

IBM OA6 University Challenge

National Finalist in IBM's Entrepreneurship, Innovation, and Consulting challenge — advanced from the University of Deusto stage to architect Repsol Apex, an agentic AI solution, under months-long mentorship from IBM Consulting and Repsol's Head of Data & AI.

Jan 2026 – June 2026

Ikasiker Research Fellowship

Competitive research grant from the Basque Government's Department of Education, awarded for academic excellence — ranked 1st in the Faculty of Engineering and 2nd university-wide.

Toolbox

Skills & technologies

Languages

Python R Java C/C++ SQL

Machine Learning & AI

PyTorch Scikit-learn XGBoost Optuna OpenCV LangChain

Data & Visualization

Pandas NumPy PySpark Matplotlib Grafana

Tools & Platforms

Git Docker AWS Linux Jupyter

Languages spoken

Spanish — Native English — C1 Basque — B2

Credentials

Certifications

Applied Data Science with Python

IBM · July 2024

View credential

Data Analysis with Python

IBM · July 2024

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Data Visualization with Python

IBM · July 2024

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Python for Data Science

IBM · July 2024

View credential

Academy Accreditation: Generative AI Fundamentals

Databricks

Academy Accreditation: AI Agent Fundamentals

Databricks

Introduction to LangChain

LangChain