Miroslav Mocak is a data scientist and software engineer with eight years of industry experience and a PhD in Astrophysics from the Max Planck Institute, now applying scientific rigor to AML analytics and data-driven solutions. He has led Actimize AML projects and customer-facing implementations across Ness KDC and currently drives data science at Caterpillar, blending domain expertise in financial crime detection with practical production engineering. Skilled in Python, SQL, web technologies and complex system integration, he moves comfortably between hands-on development, SME advisory, and operational support. His background in hydrodynamic simulations and astrophysics gives him a strong foundation in modeling, large-scale data analysis, and problem-solving approaches not typical in commercial analytics teams.
8 years of coding experience
15 years of employment as a software developer
Master's degree Astronomy and Astrophysics, Master's degree Astronomy and Astrophysics at Univerzita 'Pavla Jozefa Šafárika' v Košiciach
Doctor of Philosophy - PhD Astrophysics, Doctor of Philosophy - PhD Astrophysics at Max Planck Institute for Astrophysics
Contributions:17 pushes, 1 branch in 4 years 2 months
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