Christos Dimizas is a Data Scientist with 11 years of engineering experience who blends a deep physics background in semiconductor research with practical software and web development skills. He has evolved from experimental and computational physics into full-stack web roles and now focuses on data-driven product exploration and machine learning using SQL and Python. Across roles at MarineTraffic, Kpler and Kaizen Gaming he applies analytical rigor to feature and product analysis, translating complex signals into actionable insights. His academic work on III-nitride resonant tunneling diodes trained him in simulation, signal interpretation and experimental design—skills he leverages when building robust data pipelines and models. A lifelong learner who progressed deliberately from physics into software, he excels at explaining complex concepts simply and grounding ML work in measurable product outcomes. Based in Greece, he brings a rare combination of scientific modeling, hands-on engineering and product-focused data science.
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