Artem Gusenkov

Artem Gusenkov is a seasoned data engineer and data scientist with extensive experience in designing and implementing machine learning and data pipelines across various industries, including mining, retail, and banking. Currently employed at Kinross Gold Corporation, Artem previously worked at Badal.io, where significant contributions included developing an anomaly detection solution and a real-time data contract pipeline. Prior roles include data scientist positions at Alvin Technologies and MTS Group, as well as impactful work at Norilsk Nickel, where Artem enhanced nickel extraction and deployed innovative machine learning systems. Earlier career milestones involved designing data pipelines at Qiwi and building data marts at GlowByte Consulting. Artem holds a Master's degree in Theoretical and Experimental Physics from the National Research Nuclear University MEPhI.