Vladimir Vadim Iurcovschi
About Vladimir Vadim Iurcovschi
Vladimir Vadim Iurcovschi is a data scientist with extensive experience in the field, currently serving as an organizer at PyData Piraeus since 2019 and working at wappier in Intelligent Revenue Management. He holds a Master's degree in Data Science from Athens University of Economics and Business and a Bachelor's degree in Mathematics from Ethnikon kai Kapodistriakon Panepistimion Athinon.
Current Role at wappier
Vladimir Vadim Iurcovschi serves as a Data Scientist at wappier, focusing on Intelligent Revenue Management. He has held this position since 2019, contributing to the company's data-driven strategies and solutions for enhancing revenue management processes. His role involves analyzing data to optimize business performance and drive decision-making.
Work at PyData Piraeus
Since 2019, Iurcovschi has been the Organizer for PyData Piraeus. In this capacity, he plays a key role in organizing events and meetups that foster knowledge sharing and collaboration among data science professionals. His involvement has helped strengthen the local data science community.
Education and Expertise
Iurcovschi holds a Master of Science in Data Science from the Athens University of Economics and Business. He also earned a Bachelor's degree in Mathematics from Ethnikon kai Kapodistriakon Panepistimion Athinon. His educational background provides a solid foundation for his work in data analysis and modeling.
Previous Experience in Data Science
Before joining wappier, Iurcovschi worked as a Data Scientist at Warply from 2018 to 2019. He also completed a Data Scientist-Capstone Project at Workable in 2017. Additionally, he served as a Co-Organizer for PyData Athens, where he contributed to the organization of data science events.
Early Career in IT Support and Software Development
Iurcovschi began his career in the technology sector as an IT Support/Software Developer at geoBanking from 2015 to 2016. This role provided him with foundational skills in software development and technical support, which he later applied in his data science career.