Jakub Glinka

GfK Data Lab

Methodology specialist having strong programming skills. Motivated to develop new data analyses and implement new algorithms. Characterised by intellectual curiosity and strong need of developing his competences. Owns practical knowledge of applying mathematical statistics in order to discover significant, from business perspective, relationships in the data.

Holds Master’s degree in Applied Mathematics from Warsaw University with specialisation in Mathematical Statistics.

Since the beginning of his professional career associated with GfK. First as a methodology consultant for Polish branch of the company and later as a Data Scientist in the GfK Data Lab – highly innovative team tackling challenges of digital era in market research. His area of expertise spans from Bayesian modelling to Machine Learning. Enthusiastic about new programming languages currently relaying heavily on R and Julia in his professional work.