Anna Shestakova Email & Phone Number

I strive to combine my knowledge of data and materials science to develop new approaches in production, accelerate technological progress, and preserve the environment. In my opinion, it can be achived by optimizing production with machine learning methods. I would like to grow as a specialist in the application of data science to industrial metal science problemsAbout me:· Experience-- 3 years in data science (from data collection to release prediction scripts in production)-- 5.5 years in material science (Ni-base superalloys) · Knowledge-- Data analysis and processing, building model learning pipelines, integrating models into scripts-- Collect data and fine-tune NLP models (Bert, gpt, etc.)-- Strong knowledge of dependencies between Ni-base superalloys micro-structure and properties-- Practical knowledge of powder and classic metallurgy, heat and mechanical treatment · Hard skills-- Python & ML-packages (Pandas, Numpy, Sklearn, Catboost, etc.), visualization (Matplotlib, seaborn, etc.), SQL-- ThermoCalc, 2D/3D CAD programs (Autocad, Inventor, etc.) -- Scanning electron microscope, SEM· Employment preferences -- Ready for any kind of employment-- Both remote and office work-- Ready for relocation

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  Bauman Moscow State Technical University

  Materials Science