Geevarghese George is a Data Scientist based in Graz, Austria with nine years of experience applying machine learning to time series forecasting, computer vision, and large/multimodal language models, currently working on Data Intelligence & Digital Services at AVL. He brings a strong research foundation (PhD from University of Strasbourg) and practical engineering skills in Python, C++, and PyTorch to bridge prototyping and production. His contributions to interactive Julia tutorials show a commitment to clear, reproducible data workflows and cross-language tooling for data manipulation and visualization. Comfortable moving between research and applied ML, he focuses on building robust pipelines and Ops-friendly models that scale in real-world settings.
9 years of coding experience
High School, High School at Cochin Refineries School
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Strasbourg
Master of Science - MS, Master of Science - MS at Albert-Ludwigs-Universität Freiburg
Bachelor’s Degree, Bachelor’s Degree at Cochin University of Science and Technology
Contributions:7 commits, 3 PRs, 3 comments in 13 days
Contributions summary:Geevarghese contributed to multiple interactive tutorials within the JuliaAcademy repository, specifically focusing on data manipulation, analysis, and visualization using the Julia programming language. They demonstrated the use of packages like `CSV`, `DataFrames`, and `Plots` for reading, processing, and visualizing datasets. The contributions included code examples, explanations, and practical applications within the domain of data science.
Contributions:26 pushes, 1 branch in 4 years 6 months
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