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15 followers · 20 following

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLO

Highlights

  • Pro

Organizations

@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

  • Payment Event Pipeline
    Scala 3 streaming backend for deterministic event replay, PostgreSQL enrichment, explainable risk decisions, and idempotent MongoDB persistence.

  • Aegis AI
    GCP SRE/ChatOps prototype for cross-project incident detection, Slack alerts, metric-backed Q&A, and BigQuery audit trails.

More

  • 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.
  • 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. payment-event-pipeline payment-event-pipeline Public

    Scala 3 payment-event pipeline for deterministic JSONL and Redpanda replay, PostgreSQL enrichment, explainable risk decisions, and idempotent MongoDB persistence.

    Scala 4

  4. Iwaniukooo11/gcp-aegis-ai Iwaniukooo11/gcp-aegis-ai Public

    HTML 3

  5. BigDataFinancePipeline BigDataFinancePipeline Public

    Forked from AdamKaniasty/BigDataFinancePipeline

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

    Shell

  6. DermNet DermNet Public

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

    Jupyter Notebook 4 2