Marko Bokulic

Consulting engagement focused on applied modeling for marketing optimization and audience targeting. Created a propensity model to predict boxing pay-per-view purchase likelihood using prior purchases, subscription history, boxing engagement, and marketing engagement.

Took a planned sabbatical following several years in data science and ML roles.

Built and maintained production ML systems for product and decision support. Owned core components of a partner lifetime value prediction system, built a search-time intent model for personalization, and improved room-option relevance for family and group travelers.

Led large-scale experimentation and growth analysis in a two-sided marketplace environment. Evaluated product changes for awareness and adoption, and analyzed pricing guidance experiments for new partners.

Performed partner and affiliate performance analysis to support commercial decision-making and ROI-based evaluations. Analyzed cannibalization effects across acquisition channels and built reporting pipelines using SQL, PySpark, R, and Tableau.

Analyzed behavioral and survey data from in-store customer studies to support retail and consumer insights. Designed research methodologies and built data collection and visualization tools.

Designed and owned an analytics dashboard combining behavioral and sales data for brick-and-mortar retail insights. Developed in-store measurement and research methodologies to inform store layout and operational improvements.

Completed MSc and BSc in Psychology with a focus on statistics, experimental design, and psychometrics.