Summary
Milan Kalkenings is a Senior Data Scientist based in Hanover, Germany, with five years of hands-on experience in applied machine learning, model selection, and explainable AI. He progressed from research and tutoring roles at Universität Hildesheim to industry positions at VHV Versicherungen, where he now leads data science efforts after a rapid internal promotion. Milan’s strengths include rigorous exploratory data analysis, feature engineering and error analysis, paired with practical model adaptation for production needs. He supplements professional work with private tutoring in programming, math, and ML, and shares projects and kernels on GitHub and Kaggle that reflect a strong commitment to reproducible workflows. Known for translating academic rigor into business impact, he brings both teaching experience and applied research sensibilities to cross-functional teams. An understated asset is his focus on interpretability—ensuring models are not only performant but also understandable to stakeholders.
5 years of coding experience
5 years of employment as a software developer
Master of Science - MS Applied Computer Science, Master of Science - MS Applied Computer Science at Stiftung Universität Hildesheim
German High School Diploma (Abitur), German High School Diploma (Abitur) at Georg-Büchner-Gymnasium Seelze
German, English