Alexander Shchus
About Alexander Shchus
Alexander Shchus is the Head of Machine Learning Group at Mail.Ru Group, overseeing the Antispam and Email ML Teams. He has extensive experience in machine learning, having previously held positions at Mail.Ru Group, T-Platforms, and Transas, and he holds degrees from Saint-Petersburg State University and Seoul National University.
Current Role at Mail.ru Group
Alexander Shchus serves as the Head of Machine Learning Group at Mail.ru Group, overseeing the Antispam and Email Machine Learning teams. He has held this position since 2017, contributing to the development and implementation of machine learning strategies aimed at enhancing email security and spam detection. His leadership in this role focuses on optimizing algorithms and improving the efficiency of antispam systems.
Previous Experience at Mail.ru Group
Prior to his current role, Alexander Shchus worked at Mail.ru Group as the Head of the Antispam Machine Learning Team from 2016 to 2017. In this capacity, he was responsible for leading initiatives that improved the company's antispam technologies. He also served as a Data Mining and Machine Learning Software Engineer from 2014 to 2016, where he applied his expertise in data analysis and machine learning to enhance product offerings.
Professional Background in Technology
Alexander Shchus has a diverse background in technology, having worked at T-Platforms as a Senior Specialist from 2012 to 2014, where he focused on advanced computing solutions. Earlier in his career, he was a Junior Software Development Engineer at Transas from 2008 to 2009, contributing to software development projects. He also gained international experience as an intern at Samsung Electronics in 2011.
Educational Qualifications
Alexander Shchus holds a Specialist degree in Applied Mathematics from Saint-Petersburg State University, where he studied from 2005 to 2010. He furthered his education by obtaining a Master's degree in Electrical Engineering and Computer Science from Seoul National University, completing his studies from 2010 to 2012. His academic background provides a strong foundation for his work in machine learning and data analysis.