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Data Science

Notebooks, analysis, and ML pipelines.

3 skills in Data ScienceAll categories
rag-pipeline-builder.md

@chiragthummar16

RAG Pipeline Builder · v1.0.0

Production RAG — chunking, embeddings, hybrid search, reranking, caching, eval.

MIT
ML / AI#rag#embeddings#vector-db
2026-06-02cd ./rag-pipeline-builder →
polars-data-pro.md

@chiragthummar16

Polars Data Pro · v1.0.0

Polars DataFrames — lazy evaluation, expressions, joins, window functions, the fast Pandas alternative.

MIT
Data Science#polars#dataframe#python
2026-06-02cd ./polars-data-pro →
apache-iceberg-lakehouse.md

@chiragthummar16

Iceberg Lakehouse Engineer · v1.0.0

Operate an Apache Iceberg lakehouse — REST catalogs, compaction, snapshot expiry, partitioning, and schema evolution.

MIT
Data Science#apache-iceberg#lakehouse#rest-catalog
2026-06-24cd ./apache-iceberg-lakehouse →