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Skills 

Programming languages: Python, Kotlin, NAME_1, R, and Unix-shell / command languages 
Machine Learning / Deep Learning: Keras, Tensorflow, PyTorch 
Natural Language Processing Libraries: Spacy, NLTK, gensim, fasttext 
Machine Translation Toolkits: Sockeye and Fairseq 
DevOps: Docker, Kubernetes, Terraform, Bitbucket Pipelines, Amazon Cloud Services, Google Cloud Platform 
Database: MySQL, PostgreSQL, SQLite, Redis, Elasticsearch 

Languages 
Fluent  in  English  (IELTS  overall  7.0),  limited  working  proficiency  in  French  (DELF  B2),  basic  German  (B1), 
elementary Russian, native Turkish speaker
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List all skill text phrase in each line. Each skill should be a separate bullet point. For example Python is a skill and Kotlin is another. Compute respective start/end character indices of mentioned texts next to them For example Python (30, 35) and NAME_1 (46, 49) based on my calculation. So difference between indices should be the length of the mention text. The response should be in all capital letters.
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