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@Kolo-Naukowe-Data-Science-PW

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IgorKolodziej/README.md

Igor Kołodziej

BSc Data Science (Engineering) graduate · MSc Data Science student · Warsaw University of Technology

Selected work

  • NMAR (R package, CRAN)
    Estimation under nonignorable nonresponse in sample surveys. CRAN · Docs

  • Mamut (Python package, PyPI)
    AutoML toolkit for tabular classification. PyPI · Docs

  • Real-Time Finance Pipeline
    Dockerized big-data stack (NiFi/Kafka → HDFS → Spark → Hive → HBase).

  • QuantumRAG
    Grover-based context selection and evaluation on SQuAD 1.1.

More

  • DermNet - Unsupervised clustering with DINOv2 embeddings.
  • DoomRL - PPO/A2C agents for ViZDoom.

igorkolodziej.com

Pinned Loading

  1. ncn-foreigners/NMAR ncn-foreigners/NMAR Public

    An R Package for Estimation under Nonignorable Nonresponse in Sample Surveys

    R 4

  2. przybytniowskaj/Mamut przybytniowskaj/Mamut Public

    HTML 1

  3. BigDataFinancePipeline BigDataFinancePipeline Public

    Forked from AdamKaniasty/BigDataFinancePipeline

    End-to-end Big Data pipeline for crypto & FX data using the Apache ecosystem.

    Shell

  4. QuantumRAG QuantumRAG Public

    Grover‑inspired top‑k selection for RAG, with Streamlit UI and evaluation scripts on SQuAD 1.1.

    Python 1 1

  5. DermNet DermNet Public

    Clustering images of skin diseases using DINOv2 embeddings and dimensionality reduction techniques.

    Jupyter Notebook 4 2

  6. DoomRL DoomRL Public

    Forked from AdamKaniasty/RL-Doom

    Training a mighty reinforcement learning agent to play Doom (and win!!).

    Python