Maciej Czerwiński
About Maciej Czerwiński
Maciej Czerwiński is an Associate Analytics Manager at Interpublic Group (IPG), where he supervises data gathering processes and collaborates with the data science team. He has a strong academic background in economics and management, holding degrees from SGH Warsaw School of Economics and The London School of Economics.
Work at Interpublic Group
Maciej Czerwiński currently serves as an Associate Analytics Manager at Interpublic Group (IPG) in Warszawa, Woj. Mazowieckie, Polska, a position he has held since 2022. Prior to this role, he worked as a Senior Analyst at IPG for 11 months from 2021 to 2022 and as an Analyst for 7 months in 2021. His responsibilities include supervising data gathering processes and communication with clients and other IPG agencies. He also collaborates with the data science team on tool development at Kinesso.
Education and Expertise
Maciej Czerwiński holds a Master's degree in Quantitative Methods in Economics and Information Systems from SGH Warsaw School of Economics, which he completed from 2019 to 2021. He also earned a Bachelor's degree in the same field from SGH Warsaw School of Economics from 2016 to 2019. Additionally, he studied Business Administration and Management at Universitat de Barcelona as part of the Erasmus+ exchange program in 2019. He furthered his education with a CEMS MIM from The London School of Economics and Political Science (LSE) from 2020 to 2021.
Background
Before joining IPG, Maciej Czerwiński gained experience at Nielsen, where he worked as a Junior Analytics Consultant from 2019 to 2021 and participated in the Nielsen Graduates Programme as an intern from 2018 to 2019. He also completed a two-month internship at Bank Pekao in 2017. His background includes leading training processes in mathematical theory and computing practice, specifically focusing on Bayesian econometrics algorithms.
Training and Development Initiatives
Maciej Czerwiński has successfully conducted training sessions, including a one-week face-to-face training in the Bogota office. His expertise in mathematical theory and computing practices has been instrumental in leading training processes related to Bayesian econometrics algorithms, contributing to the professional development of his colleagues.