Summary
Aleksa Mihajlovic is a Senior Data Scientist and AI Engineer based in Berlin with 8+ years of hands-on experience building data-driven products and risk models across finance, energy, and fintech. He has led technical teams and productionised analytics platforms at Deutsche Bank—developing backtesting frameworks, macro time-series models and automated pipelines—and now applies that expertise to AI and strategic analytics at NaroIQ. Aleksa combines strong quantitative training (Masters in Economics and Quantitative Finance) with full-stack data engineering skills (PySpark, Airflow, AWS, Docker) and a track record of shipping Tableau and automated reporting solutions. Beyond banking, he built ML tools for anomaly detection in energy trading and has practical experience running non-randomized studies using causal techniques like propensity score matching. Colleagues describe him as a pragmatic problem-solver who bridges theoretical modeling and reliable production code to deliver measurable business impact.
8 years of coding experience
4 years of employment as a software developer
Data Science Nanodegree Data Science, Data Science Nanodegree Data Science at Udacity
High School Social Sciences, High School Social Sciences at Third Belgrade Gymnasium
Master's Degree Economics, Master's Degree Economics at Humboldt-Universität zu Berlin
Bachelor's Degree Financial Markets, Bachelor's Degree Financial Markets at Faculty of Economics - University of Belgrade
Master's Degree International Master In Quantitative Finance, Master's Degree International Master In Quantitative Finance at Faculty of Economics, University of Belgrade
www.aanalytics.de
Bsc in Banking and Financial Markets, Bsc in Banking and Financial Markets at University of Belgrade
English, German, Serbian, Croatian, Portuguese