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1. data-science-foundationsdata-science-foundationsPublic

   Complete Pandas,NumPy,Polars,Plotly,Rich and SQL+DuckDB learning notebooks — hands-on reference

   Jupyter Notebook 1

2. csv-deduper-clicsv-deduper-cliPublic

   A high-performance, out-of-core Python CLI for deduplicating massive CSV files (>1GB) using Polars, with complete test coverage in Pytest.

   Python

3. multi-ai-research-digestmulti-ai-research-digestPublic

   Single-call structured AI research pipeline using Streamlit, Google GenAI SDK, and Pydantic v2 to generate schema-validated technical reports via a deterministic JSON contract.

   Python

4. polars-sqlite-etl-pipelinepolars-sqlite-etl-pipelinePublic

   A resilient database migration pipeline normalizing a legacy CSV into a 3NF SQLite database using Polars, with robust pytest coverage.

   Python

5. star-schema-generatorstar-schema-generatorPublic

   Turn raw JSON into a production star schema: one structured Gemini call returns a Pydantic-validated Kimball model, DuckDB-verified DDL, and dbt Core scaffolding.

   Python

6. subsea-infrastructure-and-cloud-risk-enginesubsea-infrastructure-and-cloud-risk-enginePublic

   Production decision-support engine fusing subsea cable faults, marine weather, and conflict news into a unified geospatial risk dashboard. Features zero-copy Polars→DuckDB analytics, resilient asyn…

   Python