Dimitrios Gousis
I'm Dimitrios Gousis, a data scientist and ML enthusiast based in Greece. I enjoy blending data modeling, machine learning, and practical problem solving.
About
I’m Dimitrios Gousis, a data scientist and ML enthusiast based in Greece. I enjoy blending data modeling, machine learning, and practical problem solving. I love collaborating with data enthusiasts at all levels to explore cutting-edge technologies and translate ideas into real-world impact.
Driven by curiosity, I seek to push toward the latest trends in data science, roll up my sleeves, take responsibility to help my team hit milestones, and chase big goals. I’m not afraid to get my hands dirty and own responsibility to help my team achieve its milestones and reach its North Stars.
- 8 years' experience
- Joined January 2026
Skills· 24
Languages
- EnglishFluent
- Greek, ModernFluent
Industry experience
- Computers & Electronics
- Media & Entertainment
- Education
- Professional Services
- Software & Internet
- Healthcare
Work experience· 7 roles
Member of Proxify, working with various clients on scalable data science and machine learning solutions. Key projects included developing an ML approach to identify tipsters with the highest probability of true predictions and implementing an Elo-based ranking system to reward or penalize tipsters based on performance.
Member of the EFG Data Science team (EDS), supporting various business efforts (matchmaking, growth, community integrity) with data-driven insights and ML solutions. Key projects included unsupervised user segmentation to target retention campaigns, predictive modeling for new player skill estimation (cold-start), and a trust score metric to promote ethical players.
Member of the EFG Data Organization (EDO), supporting multiple business efforts (Matchmaking, Growth, Community Integrity). Key projects included unsupervised user segmentation to cluster players by recency/frequency, enabling targeted reactivation campaigns with observed improvements in conversions, and predictive modeling for new player skill assessment and trust metrics.
Education
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