Summary
Milan Vukicevic is an Associate Professor and data scientist with a Ph.D. in Operations Research and over 15 years bridging academic research and applied analytics. He has led international research projects, published in data science and decision-making, and combines teaching with hands-on industry work building recommendation, propensity-to-buy and BI systems. Milan has applied large-scale tools (Python, Spark, ElasticSearch, AWS) to talent acquisition and smart city IoT problems, and has experience coordinating DARPA-funded temporal network research. He is skilled at securing funding, working in Agile international teams, and translating complex models into production-ready analytics and reporting solutions. Notably, his career spans end-to-end data work from data warehouse design and BI training to advanced predictive modeling and early risk detection for aging populations.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at University of Belgrade