Maxime Kogovsek

Maxime Kogovsek is a highly accomplished professional with a diverse educational background and extensive experience in data science, machine learning, business intelligence, marketing, and strategic research. He holds a degree in Business Administration - Marketing from Université du Québec à Montréal and has completed several programs, including Applied Artificial Intelligence and Data Science & Machine Learning at McGill University School of Continuing Studies and DESS, Business Intelligence at Université de Sherbrooke.

With a demonstrated record of success, Maxime has worked in organizations across various industries, holding positions such as Product Manager - Data Science at Fizz, Business Intelligence Analyst at Lanla Mesure + Gestion Expérience Client, and Strategic research and marketing adviser at Québecor. He has also worked as a Marketing Analyst at Groupe Canam / Canam Group and a Media research analyst at TVA Media Group.

Throughout his career, Maxime has honed his expertise in data analysis and visualization, using advanced tools and techniques to extract insights from complex data sets. He has a deep understanding of product development, business intelligence, and market research, with a proven ability to leverage data-driven insights to achieve business objectives.

In his current role as a Product Manager - Data Science at Fizz, Maxime is responsible for developing and implementing data-driven strategies to support the company's growth and expansion. He has a keen eye for trends and emerging technologies, and is passionate about using data science to drive innovation and optimize business performance.

Overall, Maxime is a highly skilled professional with a wealth of knowledge and experience in data analysis, machine learning, marketing, and strategic research. His unique combination of skills makes him an asset to any organization looking to leverage data-driven insights to drive growth and success.