Summary
Stamatis Karlos is a Senior Data Scientist and educator with a PhD in Machine Learning and over a decade of experience building ML solutions across academia and industry. He has led data science teams and shipped production models for recommendation, multilabel extraction and vendor ranking, while also researching weakly- and zero-shot learning with 40+ publications and 400+ citations. Comfortable moving between hands-on feature engineering, explainability and model ops, he has applied active and semi-supervised learning to scarce-label problems in both e-commerce and maritime analytics. A seasoned instructor, he teaches university modules and bootcamps on mathematics for ML, time series forecasting and practical modeling. Notably, his background in signal processing and DSP informs a pragmatic approach to noisy, real-world datasets and explainable model design.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning - Data Mining - Mathematics, Doctor of Philosophy (Ph.D.) Machine Learning - Data Mining - Mathematics at University of Patras
Greek, English, Italian