Yiannis Gatsoulis
Senior Manager Data Science
Greece
Summary
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Senior🎓
Top SchoolYiannis Gatsoulis is a Senior Manager in Data Science with 11+ years of international R&D experience applying AI and ML to large, high-dimensional datasets across industry and academia. He has led and scaled cross-functional teams of 5–10 engineers to deliver productionized models for marketing optimization, credit scoring, churn prevention, CLV and next-best-action systems at companies like Delivery Hero and Pfizer. His background spans hands-on research (PhD in AI) and applied machine learning, including novelty detection, reinforcement learning and probabilistic modelling developed during multi-year EU research projects. Yiannis is adept at turning complex experimental methods into pragmatic, measurable business impact and has repeatedly bridged academic rigor with product delivery. He brings deep expertise in feature engineering, reject inference and multi-channel attribution, combined with proven leadership in fast-moving, data-rich environments. Based in Greece, he seeks roles that let him scale ML teams and systems while continuing to push methodological boundaries.
11 years of coding experience
13 years of employment as a software developer
MSc, Artificial Intelligence, MSc, Artificial Intelligence at The University of EdinburghBSc Hons, Computing Science - Engineering, BSc Hons, Computing Science - Engineering at University of AberdeenPhD, Artificial Intelligence, PhD, Artificial Intelligence at University of Leeds
English, German, Greek
Github Skills (49)
spatial8
data-structures8
data-analysis8
sphinx8
deprecated8
python8
frame8
pandas8
virtual-keyboard8
gitlab8
manipulation8
ellipsis8
data-science8
sphinx-doc7
ruby7
Programming languages (7)
Github contributions (5)
gatsoulis/py2ipynb
Oct 2016 - May 2018
Contributions:1 release, 6 commits, 1 PR in 1 year 7 months
ipynbpythonjupyterlab-extensionjupyter-notebooknotebook
gatsoulis/strands_qsr_lib
Jan 2015 - May 2016
Contributions:8 PRs, 166 pushes, 118 branches in 1 year 4 months
qualitativespatial
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