Vasiliki Lavrentiadou

Developed predictive churn and NPS models to identify early indicators of merchant performance degradation and customer dissatisfaction across regional markets Designed scalable analytical and modeling frameworks to support pricing optimization and global standardization initiatives across multiple international markets Partnered with Product, Finance, and Operations teams to define data-driven experimentation and measurement approaches for pricing and marketplace optimization Applied statistical modeling and behavioral analysis techniques to large-scale operational datasets to inform strategic decision-making and prioritization Collaborated cross-functionally to translate complex marketplace dynamics into scalable machine learning and analytical solutions

Developed and operationalized BERT-based NLP models to analyze millions of multilingual courier feedback and behavioral signals, enabling large-scale detection of emerging integrity and safety risks Enabled proactive identification of systemic abuse patterns, contributing to a 10% reduction in integrity-related incidents across EMEA markets Partnered with Policy, Compliance, and Operations leadership to translate model outputs into operational enforcement actions, improving speed and consistency of risk mitigation decisions Designed evaluation frameworks that improved detection coverage of edge cases and misuse patterns, increasing robustness of automated enforcement systems used in production Influenced safety decision-making processes by converting unstructured behavioral signals into structured operational insights used by cross-functional stakeholders

Led large-scale marketplace optimization initiatives across EMEA, leveraging machine learning-driven decision frameworks and experimentation to improve efficiency and system reliability Delivered $10M+ annual operational savings through predictive intervention systems, behavioral analysis, and scalable automation strategies Identified systemic fraud and abuse patterns across platform workflows, collaborating with Product and Engineering teams to implement automated enforcement and risk mitigation systems Designed data-driven operational experiments and incentive mechanisms that increased adoption of strategic marketplace features from 2% to 10% Built scalable analytical frameworks to monitor service reliability, operational performance, and cancellation-related losses across high-volume marketplace systems