Georgios Etsias is a Senior Data Scientist with six years of professional experience and a PhD in Environmental Informatics, blending academic rigor with practical ML delivery in insurance-tech and environmental research. He builds end-to-end machine learning solutions—spanning NLP, LLMs, computer vision, time-series forecasting, and graph databases—using Python, TensorFlow/PyTorch, SQL/NoSQL, and AWS, and has led projects that processed millions of IVR calls and automated insurance-claims image workflows. Author of 15 academic papers, he has applied genetic algorithms and computer vision to hydrogeology and translated that experimental expertise into robust production systems at Allstate NI and Frontline/FYLD. Comfortable with ETL, API design, containerization, and testing, he combines deep technical implementation skills with a strong record in code review and mentoring. Based in Belfast, he brings a rare mix of field-derived scientific insight and pragmatic engineering focus that helps bridge research innovations and business impact.
5 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Environmental Informatics, Doctor of Philosophy - PhD Environmental Informatics at Queen's University Belfast
Master's degree Environmental Engineering , Master's degree Environmental Engineering at Aristotle University of Thessaloniki (AUTH)
Master's degree Civil Engineering, Master's degree Civil Engineering at McNeese State University
The project categorizes 160K food orders from 100 different pizza shops. Multiple iterations of the ‘Bag of Words’ model alongside K-means clustering were used to solve the problem.
Contributions:2 releases, 54 commits, 2 PRs in 1 year 11 months
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