About me
Engineering, data, research and software development
Data Scientist · Machine Learning · Software Development
I am José Daniel Fernández Santos, a computer engineer specializing in data analytics and machine learning. I combine research in AI-based tokamak disruption prediction with software development for classic computers.
My professional background includes more than 18 years in advanced analytics and Business Intelligence team leadership. As a PhD candidate at UNED, I work on SVM+, privileged information and optimization techniques.
Retrocomputing is another way to explore these ideas: my projects seek to understand languages and algorithms by building them from scratch on resource-constrained machines.
Education
- PhD candidate in Systems Engineering and Artificial Intelligence, UNED
- Master’s in Systems and Control Engineering (2021)
- Postgraduate studies in Advanced Statistics, UNED (2023)
- BSc in Computer Engineering, UNED (2018)
Professional background
Over 18 years in advanced analytics, demand forecasting and Business Intelligence leadership in the energy sector, alongside scientific research and independent software development.
Specializing in SVM+, optimization, machine learning, statistics and critical-systems event prediction.