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Bio

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Beket Myrzanov is a seasoned data scientist and machine learning engineer with expertise in web development, SEO, and data analysis. He has worked with various industries, including finance and education, and has experience with CNN, LSTM, and VAE models. Beket holds a Master's degree in Signal and Image Processing from Paris Lodron Universität Salzburg and a Bachelor's degree in Computer Science from Nazarbayev University.

Credentials

  • Python
    TestDome
    Mar, 2022
    - Apr, 2026
  • Git and Version Control Course
    Dataquest.io
    May, 2021
    - Apr, 2026
  • Spark and Map-Reduce Course
    Dataquest.io
    May, 2021
    - Apr, 2026
  • Deep Learning Fundamentals Course
    Dataquest.io
    Nov, 2020
    - Apr, 2026
  • Linear Regression For Machine Learning Course
    Dataquest.io
    Sep, 2020
    - Apr, 2026
  • Advanced SQL for Data Analysis Course
    Dataquest.io
    Jul, 2020
    - Apr, 2026

Experience

    • Machine Learning Engineer Intern
      • Jun 2022 - Jul 2022
      • Graz, Styria, Austria

      - Implementing CNN, LSTM, Autocoder, VAE models in C++ for Arduino Nano- Fine-tuning predictive models for anomaly detection of industry machines- Measured CNN, LSTM, Autocoder, VAE models' accuracy, time and memory consumption on a personal computer, Arduino Nano.

  • Nazarbayev University
    • Nur-Sultan, Kazakhstan
    • Research Assistant
      • Apr 2022 - May 2022
      • Nur-Sultan, Kazakhstan

      - Collected and annotated audio for speech recognition- Wrote raw audio preprocessing functions to reduce noise from audio- Conducted an experiment to see if preprocessing affects speech recognition neural network performance

  • Sberbank Kazakhstan
    • Almaty, Kazakhstan
    • Data Scientist
      • May 2021 - Mar 2022
      • Almaty, Kazakhstan

      - Building web scraper to collect 1k rows of data daily using Python- Creating and managing Oracle SQL Database for scraped data- Developed real-time dashboard for major metrics of bank performance- Generated 3k+ features to improve predictive models' accuracy- Analyzed big data to extract potential customers who are likely to pay off loans on time

  • Nazarbayev University
    • Nur-Sultan, Kazakhstan
    • Research Assistant
      • Oct 2021 - Dec 2021
      • Nur-Sultan, Kazakhstan

      - Explored various datasets for Human Activity Recognition in embedded systems- Experiments with different recurrent neural networks (Recurrent NN, LSTM, GRU) for the best performance- Reduced and compressed Neural Network model to run on memory/CPU constrained embedded systems- Implemented and trained LSTM based Neural Network in TensorFlow

  • ABLE
    • Nur-Sultan, Kazakhstan
    • Data Science Teacher Assistant
      • Dec 2020 - May 2021
      • Nur-Sultan, Kazakhstan

      - Explained students fundamentals of Python and Object Oriented Programming- Introduced to Python libraries for data analysis and visualization - Taught hands-on usage of traditional machine learning models in business- Scheduled weekly Q&A sessions

Education

  • 2019 - 2023
    Назарбаев Университет
    Bachelor's degree, Computer Science
  • 2023 - 2025
    Paris Lodron Universität Salzburg
    Master's degree, Signal and Image Processing

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