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hasaki77/README.md

Hi, I'm Khasan!

Quantum Physicist at Skolkovo Institute of Science and Technology
✓ Young Scientist specializing in Materials Design through Machine Learning (ML) and Artificial Intelligence (AI), with a focus on data-driven approaches to low-dimensional materials
✓ Research experience in graphene, carbon nanotubes, and twisted bilayer graphene (Twistronics), including applications of AI to study thermodynamic and electronic properties
✓ Active participation in conferences and workshops within the priority fields of Research and Development (R&D)

Contact with me: Linkedin: khasan-akhmadiev Telegram: sally77h Instagram: hasaki_prod GitHub Khasan

Finished courses:
Courses Data
Skoltech/Introduction to Data Science 10/2023 - 11/2023
Skoltech/Experimental Data Processing 10/2023 - 11/2023
learning.edx.org/Machine Learning Fundamentals 11/2023 - 01/2024
Skoltech/Machine Learning 02/2024 - 04/2024
HSE/Deep Generative Modelling 03/2025 - 05/2025
Skoltech/Deep Learning 03/2025 - 05/2025
Skoltech/Generative AI 03/2025 - 05/2025

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  1. Data_processing Data_processing Public

    Experimental Data Processing and Kalman Filter

    Jupyter Notebook 1

  2. hppl hppl Public

    High Performance Python Lab

    Jupyter Notebook

  3. Intro_Data_Science_projects Intro_Data_Science_projects Public

    Pandas and ML models implementation

    Jupyter Notebook 1

  4. Investing_Portfolio Investing_Portfolio Public

    Prediction of successful companies for further investments

    Jupyter Notebook 1

  5. QE_Calculation QE_Calculation Public

    Jupyter Notebook 5

  6. kommaks/GNN-for-STS-forecasting kommaks/GNN-for-STS-forecasting Public

    The project is made for "Machine learning" course at Skoltech. The idea is to apply different Graph Convolutional Networks to Cash Demand problem and compare it to Prophet model.

    Jupyter Notebook 1