Scott Campbell
Operations analytics report

Automotive Assembly Intelligence

Three years of synthetic assembly-line data modeled through a production-style analytics pipeline. The report identifies output loss, quality escapes, repair gaps, trend shifts, and replacement priorities.

Synthetic, seeded, no proprietary data
The question
Where is an assembly plant losing output, and what should be fixed first?
The data
A seeded synthetic factory dataset in a PostgreSQL star schema, checked for row counts, keys, nulls and yield reconciliation.
The read
Each section ends with the decision it supports. Read the case study.

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