Productive data engineer looking to learn and improve, to teach and make a difference. Strong background in science and statistics and familiarity with machine learning and optimization, applied mainly in the utilities sector and in a remote sensing context. Capable in international and team settings due to an open-minded and adaptable nature. Always eager to take on a challenge, learns quickly and is on a constant search for efficient solutions. Likes to keep things simple and straightforward, and always wants to understand the big picture.


Experience


Data Engineer @ Gorilla (Nov 2020 - current)+

Data Science Associate @ Miralis Data / now Fuuse (Jan 2020 - Oct 2020)+

Research Intern @ Swedish Institute of Space Physics (Mar 2016 - Jul 2017)+


Education


PhD Space and Planetary Physics @ Lancaster University (Oct 2017 - Oct 2020)+

M.Sc. Space Science and Technology @ LuleƄ Tekniska Universitet (Oct 2015 - Oct 2017)+

B. Sc. Physics @ Augsburg University (Oct 2012 - Oct 2015)+