Summary
Karel Smejkal is a Data Engineer based in Berlin with 11 years of hands-on experience building data-driven solutions across finance, proptech, and SaaS. With an MSc in Cognitive Systems and a background spanning system administration to applied data science, he blends strong infrastructure skills (AWS, Linux, networking) with model-driven analytics like ensemble classifiers, time series forecasting, and NLP. At TeamViewer and Beekin he turned complex, messy geospatial and demographic datasets into automated pipelines and actionable business insights for investor decision-making. Comfortable deploying services and automations from Raspberry Pi to cloud, he pairs pragmatic ops experience with research-informed modeling. Karel’s profile reflects a practitioner who moves projects from exploratory models to production-ready data platforms while keeping an eye on real-world impact and risk.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Information Systems and Management, Bachelor's degree, Information Systems and Management at Czech Technical University in Prague
Computer Science, Computer Science at Federal University of Rio Grande do Sul
Master of Science, Cognitive Systems, Computer Science, Master of Science, Cognitive Systems, Computer Science at Technische Universität Berlin
English, Portuguese, Czech, German