I’m Iñigo Arriazu Garcia, a data professional with a background in Computer Science, Biotechnology, and Biomedical Data Science.

Professionally, I work across data analysis, database administration, business intelligence, and cloud analytics. I have experience using data to support business decisions, automate reporting, and build analytical views that connect technical systems with real operational outcomes.

Academically, I am focused on Biomedical Data Science, with interests in EHR data, medical imaging, machine learning, and predictive modelling in healthcare.

I am also working on research related to green computing, specifically the measurement and optimization of energy consumption in serverless and Kubernetes-based workflows. This includes experimenting with Lithops, Flexecutor, MinIO, Kubernetes, and energy profiling methods for distributed workloads.

My profile sits between three areas:

  1. Data engineering and analytics
  2. Biomedical data science
  3. Sustainable cloud computing

This combination allows me to approach data problems from both a practical business perspective and a scientific research perspective.

Technical Skills

Data & BI

SQL, Power BI, BigQuery, data modelling, dashboards, KPI design, reporting automation

Programming

Python, data processing, scripting, analytics workflows

Cloud & Infrastructure

Kubernetes, MinIO, serverless workflows, cloud analytics, distributed execution

Research & Data Science

Machine learning, biomedical datasets, EHR data, medical imaging, statistical analysis

Research Interests

  • Energy-aware cloud computing
  • Serverless workflow optimization
  • Biomedical data science
  • Predictive modelling in healthcare
  • Business intelligence and analytics engineering
  • Data infrastructure for scalable decision-making

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