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value-based-care

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A comprehensive research framework for Temporal Difference learning, implementing 9 state-of-the-art algorithms with theoretical analysis, empirical evaluation, and interactive visualization. Features custom environments, convergence proofs, bias-variance tradeoff analysis, and reproducible experimental pipelines for reinforcement learning research

  • Updated Aug 3, 2026
  • Python

Governed dbt/Snowflake analytics layer for a value-based insurance contract: Kimball star schema, Type 2 patient dimension from a source change log, exposure-level lineage, and a full test suite that runs on DuckDB in CI.

  • Updated Aug 7, 2026
  • Python

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