Summary
Sarka Grubner is a data scientist and research-focused engineer with eight years of experience bridging statistics, data management, and web development. Currently building a Python-based Data Vault warehouse and driving FAIR data practices at WasserCluster Lunz, she blends hands-on ETL automation with strategic data governance. Her background includes applied ML for chemical production, trusted AI work and tutoring at TÜV AUSTRIA, and public-sector data warehousing projects that demanded pragmatic, auditable pipelines. Armed with a PhD in Technical Mathematics and a Full Stack Development diploma, she pairs rigorous research instincts with modern web and database skills (Python, SQL, JavaScript, HTML/CSS). Colleagues describe her as organized, fair, and idea-driven—someone who enjoys finding structure in data chaos and simplifying systems through thoughtful design. She quietly combines academic depth with production-ready engineering, making her effective at turning complex datasets into usable, governed assets.
8 years of coding experience
8 years of employment as a software developer
Vienna University of Technology
Diploma, Full Stack Web Development, Distinction, Diploma, Full Stack Web Development, Distinction at Code Institute
Master's degree, Applications of Mathematics in Economy, Master's degree, Applications of Mathematics in Economy at Univerzita Palackého v Olomouci
Czech, English, German