Praxitelis Kouroupetroglou is a data scientist with a decade of hands-on experience combining strong academic credentials—multiple master's level programs and specialized nanodegrees—with practical expertise in Python, machine learning, deep learning and NLP. He excels at turning descriptive and predictive analytics into actionable insights and enjoys collaborating in dynamic teams to deploy models that solve real-world problems. Known for a proactive, continuous-learning mindset, he pairs rigorous statistical foundations with modern workflow skills from parallel computing to deep architectures. Based in Greece, he brings an international outlook and a curiosity for cultural exchange that informs his collaborative approach and user-centered perspectives.
10 years of coding experience
Master in Applied Informatics, Data Science, 8.93/10, Master in Applied Informatics, Data Science, 8.93/10 at International Hellenic University
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
Bachelor’s Degree, Computer Science, 7.88/10, Bachelor’s Degree, Computer Science, 7.88/10 at University of Macedonia
Parallel Computing, Parallel Computing at 21st Summer School in Parallel Computing, Cineca
Master’s Degree, Data Science, 9.29/10, Master’s Degree, Data Science, 9.29/10 at Aristotle University of Thessaloniki (AUTH)
FinancialVue Dashboard is a powerful and intuitive financial management tool designed to help users visualize and analyze their financial data. Built with Streamlit, this dashboard provides real-time insights and customizable reports, making it easier than ever to track expenses, manage budgets, and forecast future financial trends.
Contributions:33 PRs, 128 pushes, 2 branches in 1 year 8 months
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