Pol Blasco

Pol Blasco is a seasoned data science professional with extensive experience spanning various roles and industries. Currently serving as a Data Science Manager and previously as a Senior Data Scientist at Scopely since November 2020, Blasco specializes in user engagement, programmatic advertisement, dynamic pricing, and recommender systems, utilizing tools such as SQL, Looker, and Snowflake. Prior experience includes working as a Data Scientist at Marfeel, where Blasco contributed to data-driven decision-making, and as a Data Researcher at Scytl Innovating Democracy, where a machine learning model for election result forecasting was designed and implemented. Academic credentials include a Ph.D. from Imperial College London focused on machine learning optimization for wireless networks, complemented by a Master’s degree in Information and Communications Technologies and a Bachelor's degree in Telecommunications from respected institutions.