Pavel Logacev is an expert in data science and statistical modelling, with a strong background in software engineering, behavioural science, and cognitive science. He specialises in working with big data, leveraging statistical techniques to extract insights and solve complex analytical challenges.

With a PhD in Cognitive Science from the University of Potsdam, Germany, Pavel has an extensive academic and research background. He has held research positions at the University of Potsdam (2008–2015) and Boğaziçi University in Istanbul (2016–2022), where he focused on statistical modelling and linguistics. His experience in behavioural science and experimental design enhances his expertise in pricing data analysis, particularly in designing pricing-related experiments and surveys.

Pavel’s ability to understand client needs and identify tailored solutions stems from his experience in statistical consulting. His analytical approach ensures that pricing strategies and data-driven methodologies are both effective and actionable.

Fluent in German, Russian, and Turkish, Pavel brings an international perspective to his work. His areas of interest include statistical modelling and behavioural science, where he applies rigorous methodologies to improve decision-making in pricing and revenue management.