Summary
Vladislav Shufinskiy is a Senior Data Scientist with seven years of experience building and deploying ML solutions in large-scale retail and a strong foundation in data analytics. He has driven production impact at Magnit and X5 Group, migrating Spark systems to cloud platforms and implementing RAG documentation tooling, and now applies that expertise at FC Spartak Moscow. An active open-source sports analytics contributor, he created the nba_data repository, authored the nba-on-court Python library, and added v3 API support to nba_api—work that underscores his ability to ship reliable data tooling. Comfortable across Python, R, Spark and cloud environments, he blends hands-on engineering with business-focused analytics to support decision making. Outside of retail, he pursues sports analytics projects both independently and collaboratively, reflecting a rare combination of enterprise ML delivery and niche domain passion.
7 years of coding experience
6 years of employment as a software developer
Диплом специалиста по инженерной специальности, Автоматизация технологических процессов и производств, Диплом специалиста по инженерной специальности, Автоматизация технологических процессов и производств at Тверской Государственный Технический Университет