Summary
Aleksandra Klofat is a technical consultant and data scientist with eight years of experience specializing in natural language processing, data management, and analytics. With a PhD in economics and a Udacity Data Science Nanodegree, she combines rigorous statistical foundations with practical engineering—designing POCs, optimizing SQL databases, and leading data migrations for DAM and PIM systems. She runs datenverstehen.de, delivers workshops on Python, ML, and transformers, and builds NLP dashboards and social media text pipelines using Streamlit and Gephi for small businesses and smart city projects. At 4ALLPORTAL and Advellence she has bridged sales engineering and technical delivery, even co-developing a multi-tenant AI image search and authoring ISO 27001 documentation. Known for publishing accessible technical content and improving clients’ data workflows, she brings an uncommon mix of academic research, product-focused consulting, and hands-on implementation. Based in Gütersloh, she often translates complex models into operational dashboards that non-technical stakeholders can act on.
8 years of coding experience
9 years of employment as a software developer
PhD, Economics, Doktor VWL, PhD, Economics, Doktor VWL at Universität Witten/Herdecke
Data Science Nanodegree, Data Science Nanodegree at Udacity
English, Polish, German, Russian