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roman-4erkasov/README.md

Hi there 👋

[Switch to Russian]

My name is Roman, I'm a Data Scientist and ML Engineer with Python/C/C backend.

🔭 I'm currently working with Graph Neural Networks based on Economical Graphs. I both like developong models as a Data Scientist and implement them into Production as an ML Engineer.

🌱 I'm currently learning the following courses:

Fields of interests: AI in Biology, Algotrading, Network Science, GNN, NLP, CV, MLOps, C , HPC, Distributed Systems

📫 How to reach me: LinkedIn

Projects 👷‍♀️

I grouped my projects by topics to make your search more convenient🤗

Skills 🛠️

  • Languages: Python, C/C , SQL, Bash, Java (a long time ago), SAS (a long time ago)
  • Have an experience in Labeling Crowdsourcing: Toloka/TolokaKit, LabelStudio, Phone Questionaires
  • DS/DL Modeling: NLP, CV, GNN, Transformers, OCR, Time Series Analysis, Ranking, Metric Learning, Meta Learning
  • DS/ML Tooling: PyTorch, DGL, PyG, Hugging Face, PyTorch Lightning, XGBoost/LightGBM/CatBoost, Scikit-Learn, SciPy, Pandas, Pybind11, ClearML, Catalyst, DVC, ONNX/TRT/OpenVino/TorchScript/TorchTrace, TorchServe
  • XOps: Unix/Linux/AIX, Bash, AWK, Jenkins, Git, Airflow, Docker, Docker Compose, Ansible, DVC,
  • HPC/Big Data: OMP, MPI, Hadoop, PySpark, Hive, Slurm, HDFS
  • Distributed Learning: PyTorch Distributed, Gloo, NCCL, Khorovod, TGL, BNS-GCN
  • Python: PyTest, FastAPI, Dependency Injector, PyDantic, Flask, KFService, sqlalchemy, BeautifullSoup, lxml, Ansible, Hydra/OmegaConf/PyYaml
  • C/C : OMP, Protobuf, Boost, POCO, GTest/GMock
  • My Fave IDE: Vim and NeoVim ❤️

Certifications 💪

Popular repositories Loading

  1. ru-portfolio ru-portfolio Public

    2

  2. roman-4erkasov roman-4erkasov Public

    1

  3. atom atom Public

    Forked from Kinetikm/atom

    Java course materials

    Java

  4. nlp_course nlp_course Public

    Forked from yandexdataschool/nlp_course

    YSDA course in Natural Language Processing

    Jupyter Notebook

  5. ds-yandex-01-mathematics ds-yandex-01-mathematics Public

    Первый курс специализации https://www.coursera.org › machine-learning-data-analysis

    Jupyter Notebook

  6. ds-yandex-02-supervised ds-yandex-02-supervised Public

    Наработки по второму курсу специализации:https://www.coursera.org › machine-learning-data-analysis

    Jupyter Notebook