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ayman-codes/README.md

Ayman

M.Sc. Data Engineering student specializing in cloud architectures (AWS/dbt) and stochastic ML systems.

Current Engineering Focus:

  • Architecting AWS Medallion data pipelines (S3, Athena, dbt).
  • Developing containerized ELT processes (Docker, Apache Airflow).
  • Training high-dimensional machine learning models via compute pushdown.

Recent Deployments:

  • Cloud Traffic Network ML Predictor: Processed 72.29 million rows of IoT telemetry utilizing AWS Athena and dbt to feed a histogram-optimized XGBoost model.
  • Dual-Track ESG Pipeline & RAG: Structured ELT pipeline integrated with PostgreSQL pgvector unstructured document ingestion.

Technical Stack:

  • Infrastructure: AWS, Docker, Apache Airflow, dbt, Linux.
  • Languages & Databases: Python, SQL, PostgreSQL, BigQuery, PySpark.
  • ML & Mathematics: XGBoost, GenAI/RAG, Stochastic Modeling, Monte Carlo Simulations.

Contact: ayman.ab.work@outlook.com

Pinned Loading

  1. darmstadt-aws-traffic-pipeline darmstadt-aws-traffic-pipeline Public

    Jupyter Notebook

  2. wafer-defect-stochastic-analyzer wafer-defect-stochastic-analyzer Public

    Python

  3. decision-tree decision-tree Public

    Jupyter Notebook

  4. vgc-mlops-engine vgc-mlops-engine Public

    Python