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.

Haris Katsikogiannis

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.

Available to hire

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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Experience Level

Expert
Expert
Expert

Language

Greek, Modern
Fluent
English
Fluent
German
Intermediate

Work Experience

Intern at National Observatory of Athens
March 1, 2020 - May 1, 2020
Analyzed multi-wavelength data (~12,000 AGN) from SDSS, WISE, and XMM-Newton using Python. Performed statistical regression and correlation analysis, including treatment of upper limits.

Education

MSc Astronomy and Research at Leiden University
September 1, 2023 - July 1, 2025
BSc Physics at National and Kapodistrian University of Athens
September 1, 2016 - March 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Other