Asmir Muminovic is a Senior Data Scientist based in Berlin with seven years of experience blending causal ML, econometrics and NLP to drive data-informed decisions. He has built and evaluated Bayesian Marketing Mix Models, implemented causal ML for incremental LTV at Audible, and led NLP domain adaptation and semantic matching projects in production settings. At flaschenpost he currently applies these skills to business-facing problems while also serving as Community Lead for Global AI Hub, reflecting a commitment to AI education and knowledge sharing. His background spans end-to-end delivery—from ETL and data warehouses to model design, evaluation frameworks, and experimental setups like synthetic controls. He regularly blogs about causal machine learning and transformer-based NLP, signaling both deep technical interest and an ability to communicate complex ideas. Notably, he combines an economics foundation with an MS in Information Systems (Data Science), enabling a pragmatic, ROI-focused approach to ML.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Information Systems - Data Science, Master of Science - MS, Information Systems - Data Science at Humboldt University Berlin
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Technical University Berlin
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