Maintain data integrity and offline records for refinery models using LP.
Validate and improve models; data quality and domain expertise drive this work.
Backtest/guide models with external data sources (EIA, JODI, IRR, ANP).
Apply distillation, reforming, FCC, and blending knowledge to optimize circuit views.
Source and leverage large datasets with Python and PostgreSQL to automate data flows.
Collaborate with Data, Product, Engineering, and Sales for refinery insights.

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