Summary
Aleksandr Chernavin is a data analyst with 14 years of technical experience who transitioned from electrical power engineering research and engineering into data science. He has applied Python, SQL and analytics skills across fraud detection, BI and audit teams at AdRiver, A&D Mortgage, Beeline and now Yandex Search, delivering production algorithms, dashboards and automated reporting. Aleksandr has a track record of finding and proving ad fraud patterns, accelerating core algorithms, and creating alerting systems that increased customer re-engagement and business outcomes. Comfortable working directly with auditors, managers and cross-functional stakeholders, he combines rigorous academic training (MSc in Power Engineering) with hands-on data engineering and analytical practice. Notably, his background in power systems gives him a systems-thinking approach to designing robust, auditable analytics pipelines. He is based in Volgograd and thrives on turning messy raw data into actionable, defensible insights.
14 years of coding experience
Магистр технических наук, Электроэнергетика и электротехника, Магистр технических наук, Электроэнергетика и электротехника at Санкт-Петербургский политехнический университет Петра Великого