Evgeniy Vodopyanov

Evgeniy Vodopyanov has worked in a variety of roles in the past decade. In 2011, they began their career as an Intern at KPMG and Baker Steel Capital Managers LLP. Later that year, they became an Analyst at KPMG. In 2015, they took on an Intern role at Societe Generale Corporate and Investment Banking - SGCIB. In 2016, they were hired as a Data Scientist at Artefact. In 2019, they moved to Equativ (formerly Smart) as a Data Scientist. Most recently, in 2022, they began working as a Machine Learning Engineer at Therapixel.

Evgeniy Vodopyanov has an extensive educational background. Evgeniy obtained a Bachelor of Mathematics from Novosibirsk State University (NSU) between 2006 and 2010. Evgeniy then went on to obtain a Master of Mathematics from the same university between 2010 and 2012. After that, they obtained a Master of Quantitative Economics and Finance from École Polytechnique between 2014 and 2015. Finally, they obtained a Master in Economics with a focus on Econometrics from ENSAE Paris between 2015 and 2016. Additionally, they have obtained a number of certifications, including a Deep Learning Specialization from Coursera in March 2020, a Python Classes and Inheritance certification from Coursera in February 2020, a Dataiku DSS Level 2 Certification from Dataiku in June 2019, a Google Cloud Certified - Professional Data Engineer certification from Google in April 2019, and a Dataiku DSS Certification from Dataiku in October 2016.