Summary
Alexander Sevostianov is a Data Scientist with a decade of experience building analytics products and operationalizing insights across research-driven and production environments. He has led the transition from ad hoc analyses to reproducible, package-based workflows and ETL pipelines using Python, R and ClickHouse, and currently focuses on UGC fraud detection at Yandex. At ECOPSY he combined sociometric and psychometric expertise with engineering—delivering custom PDF/PPT reporting, Shiny dashboards, NLP topic-analysis tools and video-interview analytics. He acts as a business translator, mentors analysts, and prototypes LLM agents to streamline internal workflows. Trained in psychology and applied informatics, he brings a rare mix of behavioral-science rigor and pragmatic data engineering. Colleagues value him for turning methodological nuance into production-ready analytics that stakeholders can actually use.
10 years of coding experience
9 years of employment as a software developer
Specialist degree, Psychology, Specialist degree, Psychology at Moscow State University of Psychology and Education
Master's degree, Applied Informatics, Master's degree, Applied Informatics at European University at St. Petersburg
Russian, English