Ivan Bielik

Background

About Ivan Bielik

As a Data Scientist with a proven track record of solving complex business problems in a high-revenue e-commerce environment (1B+ EUR annually), I specialize in building stable, interpretable predictive models that drive measurable business impact. My expertise spans predictive modeling, time-series forecasting, and causal inference, with a focus on delivering actionable insights for revenue optimization, customer behavior analysis, and business planning. I have extensive experience developing predictive models for key business metrics such as revenue, orders, and customer lifetime value (LTV), enabling data-driven decision-making at both quarterly and yearly levels. My work also includes the successful implementation of a dynamic pricing algorithm that increased revenue while maintaining stable gross margins, automating the process to reduce manual intervention.