Dmytro Zherlitsyn, a Professor and Doctor of Science, has dedicated over 20 years to university teaching, business training, financial consulting, scientific research and data analysis. He has authored over 250 academic publications (e-learning courses, textbooks, scientific papers and monographs) in Economics, Finance, Data Science, System Analysis and Software Engineering. Dmytro headed the Economic Cybernetics department and co-led several data science and business improvement projects. His current roles include: researcher at the University of National and World Economy in Bulgaria and professor at the Technical University “Metinvest Polytechnic” in Ukraine. His teaching comprises pioneering courses in Python for Data Analysis and Applied Statistics, aligning with his professional focus on using Python to drive financial insights and innovations. His work encompasses the development of predictive models for business and market analysis, including advanced regression, simulation and machine learning methods for financial sectors and the cryptocurrency market.