Summary
Vladislav Pyslaru is a Data Scientist and Machine Learning Engineer with 11 years of experience building production-grade models and big data pipelines from Chișinău, Moldova. He has improved forecasting and sales-estimation accuracy at scale using CatBoost, XGBoost, PySpark and statistical methods, and engineered data platforms that process billions of records daily with Snowflake, dbt, Airflow and Docker. His background in C++ and theoretical/mathematical physics gives him a rigorous, performance-oriented approach to model design and outlier mitigation, which has yielded double-digit error reductions in cross-validated deployments. He also architects flexible OOP frameworks and parallelized executors that enabled teams to rapidly develop reusable data modeling components. Comfortable toggling between ad-hoc research and production constraints, he favors cost-effective, SLA-aware solutions for retail and ad-tech problems.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Southern Federal University (former Rostov State University)
English, Russian