Summary
Mindaugas Vaitekūnas is a Senior Data Scientist and engineer based in Nuremberg with nearly a decade of experience building production-ready, ML-powered products and end-to-end NLP pipelines. He combines deep statistical and econometrics training with hands-on software engineering across Python, Java, Go and Vue.js, shipping services on Docker/Kubernetes and CI/CD platforms. His work spans insurance and banking domains—leading projects like product recommendation engines, medical NLP (text→ICD-10) and deep-learning claims recognition—plus credit risk modeling and stress-testing for major German banks. Comfortable designing experiments and A/B tests, he also embeds models into web services and single-page apps, bridging research and product delivery. A pragmatic full-stack data scientist, he’s as likely to write a transformer-based model as to implement its Spring Boot API and Kubernetes deployment.
9 years of coding experience
5 years of employment as a software developer
Master's degree Economics (empiric economic research), Master's degree Economics (empiric economic research) at University of Regensburg
Bachelor's degree Economics (economic analysis), Bachelor's degree Economics (economic analysis) at Vilniaus universitetas / Vilnius University
English, German, Lithuanian