Summary
Mira Klein is a Berlin-based CEO and data scientist with 10 years of experience turning analytics into production-ready data products through INWT Statistics GmbH. She blends rigorous statistical training (MSc in Statistics) and a background in economic psychology to match business questions with pragmatic, well-engineered solutions and clear delivery rhythms. As a founder and team lead she focuses on aligning people, processes, and releases to ensure projects ship on time and create measurable impact. Mira also hosts the German podcast "Data Science Deep Dive," where she bridges technical topics—from regression and segmentation to agile coding practices—with real-world productization lessons. Her combination of hands-on modeling, leadership, and public-facing knowledge sharing makes her adept at guiding organizations from insight to operationalized outcomes.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Humboldt-Universität zu Berlin
Master of Science - MS, Psychologie mit Schwerpunkt Wirtschaftspsychologie, Master of Science - MS, Psychologie mit Schwerpunkt Wirtschaftspsychologie at Universität Mannheim
English, French, Spanish, Italian, German, Swedish