Mirko Stojiljkovic is a Scientific Software Developer with the main activities related to the development of Python workflows for the analysis of CDS climate data, Python APIs for accessing and analyzing CMCC products, and web services.
He is an expert in scientific computing, mathematical modeling, optimization, and data science. He is versatile in several programming languages including Python and its scientific, numerical, and data-science libraries like NumPy, SciPy, Pandas, Xarray, Scikit-learn, StatsModels, CVXOPT, GLPK, PuLP, etc.
In 2005, he graduated with honors and in 2015, he obtained the Ph.D. degree in Mechanical Engineering at the University of Nis. Since 2005, he has been working at the University of Nis, Faculty of Mechanical Engineering in Nis. Most of his late research is dedicated to the application of data mining, data science, and machine learning methods to support hybrid optimization and decision-making in the energy sector.
He is the author of over 50 scientific papers, reviewer for several leading scientific journals, and contributor to RealPython.
- Future rainfall scenarios for the assessment of water availability in Italy