Summary
Katica Ristić is a Lead IT Product Service Consultant with 9 years of experience blending applied mathematics, data analytics, and product-focused IT work at Bosch and previous analytical roles across Europe. Trained as an engineer in applied mathematics and further credentialed by JHU and MIT data science programs, she moves comfortably between statistical inference, exploratory analysis, and building data-informed product solutions. Her career traces a path from teaching mathematics to hands-on data analysis and now to leading product-service teams, which gives her a rare combination of pedagogy, quantitative rigor, and stakeholder-facing delivery. Based in Novi Sad, she is a math-first problem solver who enjoys turning complex models into practical insights that drive product decisions.
9 years of coding experience
4 years of employment as a software developer
MicroMaster, Statistics and Data Science, MicroMaster, Statistics and Data Science at Massachusetts Institute of Technology
Learning R - Statistical Inference, Exploratory Data Analysis, Data Science Specialization, 9.5, Learning R - Statistical Inference, Exploratory Data Analysis, Data Science Specialization, 9.5 at Johns Hopkins Bloomberg School of Public Health
Engineer of Mathematics, Applied Mathematics, 9.35, Engineer of Mathematics, Applied Mathematics, 9.35 at Faculty of Sciences, University of Novi Sad