Summary
Guido Schulz is a data engineer in Berlin with 11 years of experience at the intersection of data science, spatial analytics and MLOps. He builds production-grade pipelines and predictive models—ranging from boosting algorithms to LLM RAG applications—while championing reproducible workflows and CI/CD across R, Python and cloud APIs. His background in national statistics and research (Destatis, DIW, Humboldt-Universität) informs a pragmatic approach to data quality, visualization and interactive reporting. Currently contributing analytics expertise to the Federal Ministry for Economic Affairs and Climate Action’s data lab, he combines public-sector rigor with startup-style delivery from his time at INWT. An open-source enthusiast and passionate data-visualizer, he also brings curious, developer-centric habits (yes, he enjoys "oh my zsh") that keep his tooling sharp.
11 years of coding experience
7 years of employment as a software developer
Federal University of Ceara
USP - Universidade de São Paulo
Master of Science - MS, Statistics, 1,4, Master of Science - MS, Statistics, 1,4 at Humboldt-Universität zu Berlin
Master of Arts - MA, Social and Political Thought, Distinction, Master of Arts - MA, Social and Political Thought, Distinction at University of Sussex
Winter University, Artificial Intelligence, 1,0, Winter University, Artificial Intelligence, 1,0 at Technische Universität Berlin
Bachelor of Science - BS, Economics, 1,3, Bachelor of Science - BS, Economics, 1,3 at The University of Bonn
German, Portuguese, English, French, Italian, Japanese