Fernando Pigazo López

Data Scientist and applied researcher with a PhD in Industrial Engineering and a degree in Physics. Strong background in statistical modelling, time-series analysis, machine learning and complex systems, with research focused on industrial, environmental and socio-economic data. Experienced in translating real-world problems into interpretable quantitative models using Python and advanced econometric/statistical methods.

Combines scientific rigor with more than 15 years of industrial operations experience and multidisciplinary team leadership. Based in Santander and open to remote or compatible hybrid roles in Spain.

Researcher - Data Science & Applied Modelling at University of Cantabria - GER (Green Engineering and Resources) (2025-01 – Present)

• Develop statistical and machine-learning models for industrial, environmental and socio-economic datasets, with emphasis on time-series dynamics, interpretability and sustainability.
• Applied ARDL/VECM, cointegration testing, ADF/PP/KPSS diagnostics, rolling windows and structural-break analysis to study changing relationships in complex systems.
• Built and evaluated predictive models for PM10 air-quality data; an SVM model achieved test R2 ~ 0.90 and RMSE ~ 2.26.
• Contribute to applied research projects on sustainable industrial systems, water treatment and maritime/fleet emissions, integrating quantitative analysis with domain knowledge.
• Co-supervised data-driven academic projects, including AI vs. mathematical models for churn analysis and correlation analysis for industrial sustainability.

Director of Production at Manufacturas Maras S.L. (2016-07 – 2025-01)

• Directed plant operations and multidisciplinary teams in the automotive supply sector, combining process optimisation, production planning and evidence-based decision-making.
• Developed extensive domain expertise in complex industrial processes, operational variability, quality and continuous improvement - experience directly transferable to applied modelling and industrial analytics.

Production & Operations Leadership Roles at Spicer Ayra Cardan | Alcorta Forging Group | Silicio Solar | Guardian Navarra (2007 – 2016)

• Progressive responsibility across automotive, forging, photovoltaic and glass manufacturing environments, including production planning, process improvement, team coordination and quality-focused operations.

Predoctoral Researcher - Computational & Experimental Physics at ICMM-CSIC, Institute of Materials Science of Madrid (2004 – 2008)

• Conducted experimental and computational research on magnetic nanostructures, thin films and materials for microelectromechanical applications.
• Participated in national R&D projects and published multiple peer-reviewed articles in international physics journals, including first-author computational/experimental work.

PhD in Industrial Engineering - Technologies of Industrial Design and Production – University of Cantabria (2025)

Degree in Physics - Fundamental Physics – University of Cantabria (2001)

Research Proficiency / Advanced Studies in Condensed Matter Physics – Autonomous University of Madrid (2005)

MBA in Business Administration – International University of La Rioja (UNIR) (2016)