Stavros Emmanouilidis is a Data Scientist based in London with 10 years of experience applying machine learning and computer vision to real-world industrial, medical, and consumer problems. He has delivered end-to-end solutions from IoT predictive maintenance and edge-deployed deep learning time-series models to real-time anomaly detection and BI dashboards for clients. Currently at Dataiku after consulting at Sagentia Innovation, he blends practical deployment experience with strong academic grounding from an MSc in Machine Learning for Visual Data Analytics. Beyond modeling, he has taught programming and maths to cultivate future data professionals and led coding clubs to make computing accessible. Colleagues know him for translating sensor and visual data into actionable insights that improve device effectiveness and operational uptime.
10 years of coding experience
2 years of employment as a software developer
MEng, Computer Engineering & Informatics, MEng, Computer Engineering & Informatics at University of Ioannina
Master of Science - MS, Machine Learning for Visual Data Analytics, Master of Science - MS, Machine Learning for Visual Data Analytics at Queen Mary University of London
Contributions:1 branch, 1 comment, 2 issues in 2 years 4 months
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