Summary
Aleksandr Burlakov is a data scientist and freelance analyst based in Barcelona with eight years of professional experience combining academic research, certified asset appraisal, and applied data science since 2020. He brings strong quantitative foundations from a Physics & Mathematics degree and formal training in valuation and SQL, and is fluent with Python data stacks (Pandas, NumPy, SciPy), ML tools (scikit-learn, CatBoost, PyTorch) and production tooling like Airflow, FastAPI and ClickHouse. Aleksandr has practical product-metrics experience (CTR, CPC, MAU, ARPU, LTV, retention) and deep familiarity with statistical methods including A/B testing and bootstrap techniques. His background as a certified appraiser gives him an uncommon edge in combining domain-driven valuation thinking with data-driven modeling and experimentation. As a longtime curator of educational projects, he also enjoys mentoring and collaborative analytics work and is actively open to joint projects and consultancy. Contactable via email and Telegram, he balances rigorous methodology with practical delivery as a freelance practitioner.
8 years of coding experience
“Database and SQL query specialist”, GPA – 4 out of 4, “Database and SQL query specialist”, GPA – 4 out of 4 at Far Eastern Federal University (Vladivostok)
Property valuation: valuation of the enterprise (business), GPA – 3.4 out of 4, Property valuation: valuation of the enterprise (business), GPA – 3.4 out of 4 at International Academy of Assessment and Consulting (Moscow)
Faculty of Physics and Mathematics, GPA – 3.5 out of 4, Faculty of Physics and Mathematics, GPA – 3.5 out of 4 at Astrakhan State University (Astrakhan)
English