Pavel Parunin

Pavel Parunin has a diverse work experience in various roles and industries. Pavel is currently working as a Deep Learning Engineer at Impress since 2022. Prior to that, Pavel worked as a Data Scientist at Philips Innovation Labs RUS from 2019 to 2021. Pavel also served as a Technical Advisor at Ideofit from 2018 to 2020. Pavel gained valuable experience as a Data Scientist at Krypton Capital from 2018 to 2019, where they conducted research and implemented NLP algorithms for analysis of Telegram channels. Additionally, Pavel worked as a Data Scientist and Computer Vision Engineer at Skolkovo Institute of Science and Technology from 2016 to 2018, contributing to projects involving deep learning algorithms and computer vision. Pavel began their career as a Research Scientist at Boreskov Institute of Catalysis, SB RAS from 2012 to 2016, focusing on topics related to carbon dioxide conversion and catalyst investigations. Pavel also worked as an Engineer at NovosibirskNIPIneft LLC in 2014, where they handled the automation of data acquisition and control processes. Overall, Pavel Parunin has gained valuable expertise in deep learning, data science, NLP, computer vision, and catalyst research throughout their career.

Pavel Parunin has a strong educational background in the field of science and technology. Pavel attended Novosibirsk State University (NSU) from 2008 to 2013, where they obtained a Bachelor of Science degree in Chemical Physics. Following that, they pursued a Master's degree in the same field at NSU from 2013 to 2015. Later, they further enhanced their knowledge and skills by pursuing a Master's degree in Information Technology and Engineering at the Skolkovo Institute of Science and Technology from 2016 to 2018.