Liane Gybas is a Lead Instructor in Data Science based in Frankfurt with 11 years of experience blending process-oriented consulting and hands-on automation with growing expertise in machine learning and Python. After pivoting from RPA and utilities consulting, she now focuses on building scikit-learn pipelines and translating analytical results into actionable business insights for learners and teams. Her background at SAP and Mainova gives her a pragmatic appreciation for enterprise processes, while her teaching role sharpens her communication, attention to detail, and ability to mentor diverse learners. Known for enjoying analytical challenges, she combines low-code experience (RapidMiner) with code-first tooling and SQL to bridge the gap between prototypes and production-ready workflows.
11 years of coding experience
1 year of employment as a software developer
Diplom (BA), International Business Information Technology, Diplom (BA), International Business Information Technology at Berufsakademie Mannheim / Duale Hochschule BW
Data Scientist, Data Science Bootcamp, Data Scientist, Data Science Bootcamp at WBS CODING SCHOOL
Master of Science - MS, Wirtschaftsinformatik, 2,1, Master of Science - MS, Wirtschaftsinformatik, 2,1 at Universität Mannheim
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