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AlgazinovAleksandr/README.md

Hi 👋, I'm Aleksandr!

A passionate Data Scientist and ML-Researcher

Tools and Languages:

Python PyTorch Hugging Face Transformers LangChain AutoGen spaCy NLTK scikit-learn CatBoost LightGBM numpy pandas matplotlib seaborn AutoML PySpark Git Docker SQL Bash Hadoop LaTeX

algazinovaleksandr

 algazinovaleksandr

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  1. STREAM-RL STREAM-RL Public

    Using Reinforcement Learning for mitigating vehicle traffic by providing user instructions

    Jupyter Notebook 11 1

  2. Option-Pricing Option-Pricing Public

    We solve the problem of option pricing using Machine Learning and Deep Learning methods. The materials presented in this repository are prepared for my Bachelor's Thesis

    Jupyter Notebook 6

  3. Financial-Analysis Financial-Analysis Public

    Solving financial problems and analyzing financial data with Data Science tools (portfolio analysis, stock price dynamics trends analysis, etc.)

    Jupyter Notebook 4

  4. NLP-LLMs-Fine-Tuning NLP-LLMs-Fine-Tuning Public

    Solve various NLP tasks by applying modern NLP architectures and tooling—from foundational embeddings to transformer‑based models like BERT and GPT; Use methodologies like fine‑tuning and prompt en…

    Jupyter Notebook 5

  5. Time-Series-forecasting Time-Series-forecasting Public

    Multivariate time series analysis and forecasting. Use multiple models, such as CatBoost, Prophet, LSTM, Seq2Seq, Transformer, and AutoML to compare classical, ml-based, and deep learning approaches

    Jupyter Notebook 5

  6. Multi-Agent-MATE Multi-Agent-MATE Public

    The first open-source and lightweight multi-agent system for comprehensive modality conversion tasks

    Jupyter Notebook 10 1