I’m Haris Katsikogiannis, a data scientist-in-training with a strong background in astronomy, physics, and computational analysis. I design and implement data pipelines, statistical workflows, and ML models using Python, NumPy, and related tools to extract insights from large datasets. I’m particularly excited about turning complex data into actionable predictions, image recognition, or language tasks, applying modern techniques to real-world problems.
I am pursuing an MSc in Astronomy and Research at Leiden University, following a BSc in Physics from the National and Kapodistrian University of Athens. My hands-on experience includes radio astronomy imaging, signal processing, and multi-wavelength data analysis, plus deploying end-to-end data pipelines and collaborating in research teams. I enjoy open-source software and science communication, and I am eager to contribute to impactful ML projects in industry or academia.
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