Georgy Golovanov

Georgy Golovanov is a data scientist who currently works for Xen.AI. Georgy has previously worked as a visiting research scientist for both Fermilab and the Joint Institute for Nuclear Research. Georgy's experience includes experimental data analysis and processing, data visualization, and data acquisition. Georgy is skilled in a variety of programming languages and software packages, and is constantly striving to learn more in order to better support their team and clients.

Dr. Georgy Golovanov earned their Doctor of Philosophy in Physics of atomic nucleus and elementary particles from the Joint Institute for Nuclear Research. Georgy also holds a Master's Degree in Theoretical and Nuclear Physics from Saratov State University named after N.G.Chernyshevsky. In addition, they have completed scientific training in High Energy Physics and Elementary Particle Physics from Moscow State University (Skobeltsyn Institute of Nuclear Physics). Furthermore, they have received certification from the University of Pennsylvania in Retail Digital Supply Chain, IBM in IBM Data Science Professional Certificate, Coursera in Deep Neural Networks with PyTorch (with Honors), IBM in IBM AI Engineering Professional Certificate, IBM in Scalable Machine Learning on Big Data using Apache Spark, Rhyme.com (Acquired by Coursera) in Image Classification with CNNs using Keras, and Coursera in Machine Learning with Python.