Svetlana Kuznetsova

Svetlana Kuznetsova

RU-EN Translator

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location of Svetlana KuznetsovaMoscow, Moscow City, Russia

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  • Timeline

  • About me

    Data Analyst | NLP Engineer

  • Education

    • Maxim Gorky Literature Institute

      2006 - 2011
      Specialist Literary Translation
  • Experience

    • Mail.Ru Group

      Oct 2014 - Sept 2017
      RU-EN Translator

      - Translated MMORPG games, articles & press releases- Performed localization QA- Assisted the localization manager

    • Publishing houses

      Sept 2017 - Apr 2024
      Literary Translator

      Translated art history, biography, interview, and fiction books (10+ publications)

    • Game Insight

      Sept 2017 - Jun 2023
      RU-EN Translator / Localization Manager

      Translated mobile games, marketing materials, and technical documentation into English using CAT tools. Managed localization projects by:- Maintaining up-to-date work documents and glossaries- Assigning tasks and facilitating communication between translators and clientsTechnologies used: JIRA, MemoQ, Confluence.

    • SberDevices, Pet Projects

      Sept 2022 - Aug 2024
      NLP Intern

      SBERDEVICESCompleted a 2-month internship as part of the 'Computational Linguistics' course at the National Research University Higher School of Economics (HSE). My primary responsibility involved adapting an English-language corpus, WorldTree, for testing language models on the Russian Superglue benchmark. This included:- Automating the translation of the corpus using the Google Translate API- Editing and annotating the translated corpusPET PROJECTSActively hone skills and expand knowledge in NLP and Data Science, alongside mathematics and programming. Engage in online courses and work on pet projects, focusing on:- Data collection and analysis- Data visualization- Text preprocessing- Text data vectorization- Application of classical machine learning techniques (text classification, regression for data prediction)- Sentiment analysis and summarization using Transformers models- Prompt engineering, accessing LLMs via APITechnologies used: Python, NumPy, Pandas, Regex, Matplotlib, Seaborn, Scikit-learn, NLTK, Gensim, Spacy, Pymorphy, Transformers, PyTorch, Requests, JSON. Show less

    • Delovye Linii

      Jul 2024 - now
      Data Analyst
  • Licenses & Certifications

    • English C1

      University of Birmingham
      Aug 2008
    • Computational Linguistics

      Higher School of Economics
      Jul 2021
      View certificate certificate