Vladimir Ishchenko

• Conducted data mining to uncover hidden patterns and insights for product growth initiatives. • Developed and maintained dynamic dashboards in Power BI to effectively communicate key metrics and support data-driven decisions. • Leveraged SQL and Python to extract, transform, and prepare large datasets for analysis. • Measured the potential impact of new features on product performance and prioritized development based on findings.

• Explored growth possibilities and measured the impact of product features by performing analytics. • Analyzed past potential events and tested hypotheses by running A/B tests. • Conducted thorough product analysis and classification, including ABC/XYZ categorization, to optimize inventory strategies and streamline stock management processes. • Optimized delivery zones for 30 stores in the Moscow region by analyzing demand, routes, and store capabilities to enhance logistics efficiency.

• Streamlined the process of creating claims for incorrect barcodes, ensuring efficient resolution of issues. • Implemented a cashier application to boost operational efficiency and enhance customer service experience. • Managed the launch of a high-impact application used by over 1,000 daily users.

• Implemented new forecasting & category management app using Oracle APEX. • Boosted forecast accuracy by 5 percentage points. • Analyzed order cancellations and metric variations. • Improved stock management by identifying and resolving underlying causes of stock issues.