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  • SSI Schaefer

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marioitti1/README.md

Привет! 👋

✨ Обо мне за 30 секунд ✨

  • 🎓 Образование:
    • СамГТУ (Бакалавр) - Автоматизация и управление в технических системах;
    • СамГТУ (Магистр) - Автоматизация и упарвление в технических системах;
    • Skillfactory (Курс) - DataScience;
  • 🔅 Создаю проекты для автоматизированных складов с 2019 года;
  • 📙 Область научных интересов: Применение искуственного интелекта для задач ТАУ.

💡 Основные компетенции 💡

  • Инструменты: Python, SQL, TIA Portal, Step7, GIT
  • Skills:
    • Mathematical statistics;
    • Software Development;
    • Teamwork;
    • Programs for Automatization of production.

⚡️ В настоящее время ⚡️

  • Работаю старшим программистом в SSI Schaefer, занимаюсь разроботкой программного обеспечения для автоматизированных складов под ключ;
  • Практикуюсь в осуществлении собственных проектов на Python;
  • Пишу научные статьи по автоматизации складов;
  • Прохожу курс: Data Science Engineer.

🙌🏻 Свяжись со мной


Hello! 👋

✨ About me in 30 seconds ✨

  • 🎓 Education:
  • SamGTU (Bachelor's) - Automation and control in technical systems;
  • SamGTU (Master's) - Automation and control in technical systems;
  • Skillfactory (Course) - DataScience;
  • 🔅 I have been creating projects for automated warehouses since 2019;
  • 📙 Research interests: Application of artificial intelligence for automated warehouse tasks.

💡 Core competencies 💡

  • Tools: Python, SQL, TIA Portal, Step7, GIT
  • Skills:
    • Mathematical statistics;
    • Software Development;
    • Teamwork;
    • Programs for Automatization of production.

⚡️ Currently ⚡️

  • I work as a senior programmer at SSI Schaefer, developing software for turnkey automated warehouses;
  • I practice implementing my own projects in Python;
  • I write scientific articles on warehouse automation;
  • I am taking a course: Data Science Engineer.

🙌🏻 Contact me

Pinned Loading

  1. carzone carzone Public

    JavaScript

  2. DataCleaningProject DataCleaningProject Public

    Project aims to demonstrate the application of various data cleaning methods

    Jupyter Notebook