Elvijs M.

Elvijs M. started their work experience in 2010 as a Laboratory Assistant at the Institute of Atomic Physics and Spectroscopy, University of Latvia. From 2013 to 2017, they worked as a Research Assistant at the Argelander Institute for Astronomy, where they utilized a software program to study the evolution of stars and presented their findings in research articles and conferences. In 2018, they joined Science to Data Science as a Data Science Fellow, participating in a team-based commercial data science project. Later that year, they joined Empolis Information Management GmbH as a Data Scientist, and in 2020, they were promoted to Senior Data Scientist. In this role, they developed algorithms for failure prediction of industrial machines and used stream processing tools for real-time data analysis. Finally, in 2021, Elvijs M. joined Scanbot as a Senior Machine Learning Engineer.

Elvijs M. began their education in 2008 at Latvijas Universitate, where they earned a Bachelor of Science degree in Physics in 2011. Following that, from 2011-2013, they pursued a Master of Science degree in Astronomy and Astrophysics at Lund University. Elvijs then went on to The University of Bonn to earn a Doctor of Philosophy (PhD) degree in Astrophysics, which they completed between 2013-2018.

In addition to their academic qualifications, Elvijs has obtained several certifications. In 2018, they completed the S2DS London program offered by PIVIGO LIMITED. In 2019, they obtained a certification in Machine Learning from Coursera. Most recently, in 2020, they completed the Deep Learning Specialization course, also provided by Coursera.