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zyf2021/README.md

Hi there 👋

I hold a Master's degree in Machine Learning and Big Data. I am passionate about developing and applying machine learning methods, data analysis, and software development. My goal is to use cutting-edge technologies to solve real-world problems and improve the quality of life.

🔧 Skills:

  • Programming Languages: Python, C++, Java, R
  • Machine Learning: PyTorch, NumPy, pandas, scikit-learn, seaborn, TensorFlow, Keras
  • Tools: Git, SQL, Docker
  • Others: MS Office Excel, Data Visualization

🔭 I’m currently working on:

  • Enhancing my knowledge and skills in computer vision projects using PyTorch.
  • Developing a recommendation system for an e-commerce platform.

🌱 I’m currently learning:

  • Advanced deep learning techniques.
  • Best practices in data engineering and MLOps.

🌟 Projects:

Data Analysis with Python Machine Learning with Python
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  • ConstructVision - My master project.
  • Notebooks - My other projects

🎓 Education:

  • Master's in Machine Learning and Big Data - (2024)
  • Bachelor's in Applied Mathematics and Informatics - (2022)

💼 Professional Experience:

Data Scientist | June 2020 - June 2022

  • Developed predictive models to forecast customer behavior, resulting in a 15% increase in customer retention.
  • Analyzed large datasets using Python, SQL, and data visualization tools to provide actionable insights.
  • Collaborated with cross-functional teams to design and implement data-driven solutions for business problems.
  • Utilized machine learning libraries like scikit-learn and TensorFlow to build and deploy models.

Machine Learning Engineer | June 2022 - June 2022

  • Designed and implemented machine learning algorithms for image recognition and natural language processing projects.
  • Developed and optimized neural network models using PyTorch, improving accuracy by 20%.
  • Conducted data preprocessing, feature engineering, and model evaluation for various machine learning projects.
  • Worked with data scientists and software engineers to integrate machine learning models into production systems.

Pinned Loading

  1. - - Public

    Jupyter Notebook

  2. Forecasting-electricity-consumption Forecasting-electricity-consumption Public

    Рассмотрен временной ряд данных о потреблении электроэнергии, чтобы построить модель для прогноза на основе предыдущих значений.

    Jupyter Notebook

  3. zyf2021 zyf2021 Public

    Hi!

  4. 0notebooks 0notebooks Public

    Jupyter Notebook

  5. Boston-House-Prices-Advanced-Regression-Techniques Boston-House-Prices-Advanced-Regression-Techniques Public

    Jupyter Notebook