Natalia Klyueva
Data Scientist
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolNatalia Klyueva is a computational linguist and data scientist with 11 years of experience applying NLP and ML to real-world problems across academia and industry. With a PhD from Charles University and postdoctoral work on multilingual and domain-specific text processing, she now delivers production-ready NLP solutions at Novartis using AWS SageMaker, containerized deployments, Hugging Face and Keras-BERT. Comfortable across the stack, she bridges data engineering, model building and lightweight apps (Streamlit) and has worked on tasks from ontology generation and terminology extraction to supply‑chain forecasting. She prefers hands-on coding and experimentation over paper writing, and is actively transitioning her research-driven skillset into industry product work. An understated strength is her long experience with corpus-scale preprocessing and annotation workflows, enabling robust pipelines for noisy, multilingual data.
11 years of coding experience
11 years of employment as a software developer
eq. Mgr, Theoretical and Applied Linguistics, eq. Mgr, Theoretical and Applied Linguistics at Russian State University for Humanities, MoscowPh.D., Computational Linguistics, Ph.D., Computational Linguistics at Charles University in Prague
Github Skills (18)
french9
corpus-linguistics9
thesaurus9
corpus8
dependency-parsing8
nmt7
pid7
korean-nlp7
extensible6
nlp6
natural-language-processing6
multilingual6
user-interface6
machine-translation5
search-engine5
Programming languages (3)
Github contributions (5)
ufal/lindat-corpora-conversions
Dec 2014 - Jun 2017
Contributions:66 commits, 43 pushes, 10 comments in 2 years 5 months
polyu-llt/openrice_annotations
May 2018 - Nov 2018
Contributions:16 commits, 6 pushes in 6 months
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