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Fernando Borbon

@fernandoborbon

Message

Senior reliability data scientist focused on predictive maintenance, MLOps, and data governance at scale.

Spain

Message

What I'm looking for

I’m looking for a role where I can lead end-to-end AI/ML and reliability work—predictive maintenance, data governance, and robust MLOps—partnering with teams to move PoCs to MVPs and help make data science broadly usable.

I bring more than 20 years of experience in data science for industry and service companies, with hands-on work installing sensors, deploying and managing IT infrastructure, and building machine learning pipelines across sectors.

In my current role, I develop AI models for predictive maintenance, automate existing data pipelines, and lead new PoCs through to MVP—while promoting the democratization of data science skills and tools. Previously, I delivered cloud-based ML solutions and retraining workflows on Azure/Databricks, set up BI and data-collection strategies, and contributed to European wind-energy research by developing modular tools and running complex measurement campaigns.

Experience

Work history, roles, and key accomplishments

Current

Senior Reliability Data Scientist

Current

Holcim

Jul 2024 - Present (2 years)

Develops AI models for predictive maintenance and automates existing data pipelines. Leads new proof-of-concept work and supports transition to MVP.

Predictive Maintenance Data Pipelines Proof of Concept C3.Ai

Corporate Data Scientist

Magotteaux

Jun 2022 - Jul 2024 (2 years 1 month)

Supports and coordinates data science projects with providers, including defining cloud requirements. Manages ML models and deployments using Azure and Databricks with scheduled retraining and a web interface for user interaction.

Azure AWS Databricks Scheduled Retraining Web Interface Docker Python scikit learn

Freelance Data Scientist

Forward Forecasting

Jun 2021 - Jun 2022 (1 year)

Developed a web platform for wind farm efficiency analysis and presented outcomes to technical customers. Managed web domain and security certificate registration.

Wind Farm Efficiency Analysis Python Flask AWS Jupyter Notebooks GitHub MySQL

Senior Data Scientist

Cdmon

Jan 2020 - Jun 2021 (1 year 5 months)

Set up and planned BI department data collection, storage, and consumption strategies. Created data warehouse and dashboards while developing, deploying, and supervising ML algorithms.

Business Intelligence (BI)Data Warehouse Machine Learning Dashboards Linux Docker Python Dash GitHub MySQL Microstrategy Apache Superset Apache Airflow

Data Scientist / R&D Engineer

CENER

Mar 2010 - Jan 2020 (9 years 10 months)

Contributed to European research projects in wind energy and developed modular tools in Python to assess wind farm efficiency. Deployed measurement campaigns using met masts, wind scanners, and surface energy balance stations and supported wake modeling research.

Wind Energy Research Wake Modeling Predictive Maintenance Natural Language Processing (NLP)Data Governance BI & Analytics Python TensorFlow scikit learn Modular Tool Development

Research Intern

TU/e — Eindhoven University of Technology

Jun 2008 - Aug 2008 (2 months)

Supported experimental data acquisition and analysis in the Plasma & Materials Processing group ahead of postgraduate studies.

Experimental Analysis

Lecturer

Spanish University of Costa Rica

Aug 2004 - Jul 2007 (2 years 11 months)

Native lecturer for several undergraduate electrical engineering courses and laboratory sessions. Delivered professional teaching sessions for students.

Teaching Electrical Engineering