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sultanbeishenkulov/ReadMe.md

Sultan Beishenkulov

Data Scientist

GITHUB-USERNAME

I am a Data Scientist with a Master's degree in Data Science and over 3 years of experience in predictive modeling, data processing, and data mining. Proficient in Python, I am dedicated to solving problems through data-driven approaches. I possess in-depth understanding of predictive modeling and machine learning algorithms, with a demonstrated ability to optimize business processes through informed decision-making based on data analysis.

Skills

GitPythonrlangHTML5MongoDBMySQLPostgreSQLAmazon Web ServicesDockerMacOSPyTorchTensorFlow

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  1. Graph-Neural-Networks-for-Twitter-Data Graph-Neural-Networks-for-Twitter-Data Public

    implementation of GraphSAGE on Twitter data for friend recommendation without using any features of the Twitter users (solely based on graph data)

    Jupyter Notebook 4

  2. home-credit-default-risk home-credit-default-risk Public

    The dataset train.csv contains the some information about the loans; the source is Kaggle https://www.kaggle.com/c/home-credit-default-risk. The aim is to build a model that can predict the payment…

    Jupyter Notebook 2

  3. Data-reduction-methods-for-image-classification-problems Data-reduction-methods-for-image-classification-problems Public

    Jupyter Notebook

  4. Time-series-momentum Time-series-momentum Public

    The aim is to build a model that can predict the payment performance for the next loan requests, based on some predictors:

    R

  5. Movies-recomendation-system Movies-recomendation-system Public

    Jupyter Notebook

  6. econometrics econometrics Public

    R