Ismael Ramos

I'm a computer engineer and data scientist, I recently finished my PhD specialised in preprocessing techniques for wide data, such as feature selection and dimensionality reduction methods. I have also worked in the area of semi-supervised learning. Thanks to my background in computer science, I have a solid knowledge of programming, I enjoy learning the workings of algorithms and statistical concepts.

With over five years of experience in my field, I have worked with a wide range of techniques and technologies, which has allowed me to adapt to different problems. In the next step of my career I would like to explore new areas.

Postdoc at University of Burgos (2024-09 – 2025-05)

PhD grant at University of Burgos (2021-10 – 2024-09)

PhD period

Research staff at University of Burgos (2020-06 – 2021-09)

Support Technician at University of Burgos (2020-03 – 2021-05)

Researcher at University of Oviedo (2016-11 – 2017-06)

Researching concept drift algorithms for online learning, state-of-the-art writing algorithm programming.

PhD in Preprocessing techniques for wide data – University of Burgos (2020 – 2024)

Master's Degree in Data Science and Computer Engineering – University of Granada (2017 – 2018)

Bachelor in Computer Engineering, with mention in Computing – University of Burgos (2012 – 2016)