Stanislaus Stadlmann is a Data Engineer and professional statistician with a decade of experience turning statistical research and predictive models into production-grade Python deployments. He holds a PhD in Statistics (Magna Cum Laude) and has blended academic rigor with industry practice across roles at universities, insurance, and consulting firms. Equally fluent in R—where he’s published multiple CRAN packages—and Python, he builds reproducible pipelines that automate model delivery and reporting. He has substantial teaching and consulting experience, mentoring students and stakeholders to apply complex methods to real problems. Now based in Vienna, he brings a pragmatic mix of theoretical depth and hands-on engineering to data-driven decision making.
10 years of coding experience
1 year of employment as a software developer
Economics, Economics at National University of Ireland, Galway
Bachelor of Arts - BA, Economics, 2,0, Bachelor of Arts - BA, Economics, 2,0 at Georg-August-Universität Göttingen
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Macquarie University
Doctor of Philosophy - PhD, Statistics, Magna Cum Laude, Doctor of Philosophy - PhD, Statistics, Magna Cum Laude at The University of Göttingen
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