Ali Zendegani is a Data Scientist with 8 years’ experience specializing in numerical modelling of complex systems and a strong foundation in Computational Materials Science. He pairs advanced Python programming and data visualization skills with an IBM Artificial Intelligence Engineer certification to build data-driven solutions using analytics, machine learning, and AI. Trained at the Max Planck Society to doctoral level, he brings rigorous research discipline to practical problem solving and model development. Based in Düsseldorf, he excels at turning physics-informed simulations into actionable insights for engineering and scientific applications. Colleagues describe him as equally comfortable prototyping algorithms and communicating technical results to non-specialist stakeholders.
7 years of coding experience
Doctor of Engineering (Dr.-Ing.), Doctor of Engineering (Dr.-Ing.) at Max Planck Society
Contributions:13 commits, 11 pushes, 1 branch in 2 months
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