Summary
Aleksandr Skakun is a Senior Data Analyst based in Serbia who combines over a decade of programming experience (Python, C#, C/C++, MATLAB) with deep domain expertise in neurophysiology and brain-data processing. He has applied machine learning to fMRI and EEG data in research roles and won a UMNIK grant for developing neural-network software to detect EEG command patterns for neurointerfaces. Trained at top Russian institutions and holding an MS in Computer Science from Schaffhausen Institute of Technology, he bridges biophysics, medical physics, and practical data science. At Acronis he translates complex signal-processing research into production-ready analytics, while continuing to lead grant-funded research projects. Notably, his background spans both hands-on laboratory experimentation and production analytics—making him adept at turning neuroscience algorithms into deployable solutions.
5 years of coding experience
Master of Science - MS, Computer Sciences, 5.95/6, Master of Science - MS, Computer Sciences, 5.95/6 at Schaffhausen Institute of Technology
Master's degree, Health/Medical Physics, Excellent, Master's degree, Health/Medical Physics, Excellent at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Lomonosov Moscow State University
Английский