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  1. AutoML-PipelineAutoML-PipelinePublic

    Built an automated ML pipeline on AWS that detects concept drift in incoming data, retrains an XGBoost classifier when drift is detected, evaluates the challenger model against the production champ…

    Python

  2. PySpark-Cloud-Data-ETL-Query-and-Tableau-PresentationPySpark-Cloud-Data-ETL-Query-and-Tableau-PresentationPublic

    Multi-stage cloud ETL pipeline analyzing 471K airline flight records using AWS Glue (PySpark), Athena SQL, and Tableau. Includes timezone normalization, deduplication, correlation analysis, time-of…

    Python

  3. Kubernetes-ML-InferenceKubernetes-ML-InferencePublic

    AWS EKS cloud-based machine learning service

    Python

  4. sparksqlsparksqlPublic

    PySpark and SparkSQL pipeline analyzing Google Books 1-gram dataset — RDDs, DataFrames, self-joins, and window functions on 500 years of word frequency data.

    Python

  5. healthcare-claims-etl-pythonhealthcare-claims-etl-pythonPublic

    A reference Python notebook demonstrating an orchestration pattern for running multiple SQL queries against multiple Oracle databases, combining results in different ways per query, and distributin…

    Jupyter Notebook