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06 / CASE STUDY

DOE/JAS (via Scienotech–PSTW)

AIR AI EQMP Forecast Service

Python / AI engineer on a 10-station CNN air-quality forecast service (TensorFlow/Keras regression) — CDS/FIRMS data extractors, nine forecast APIs, and cron scheduling.

role
Python / AI engineer
period
—
evidence
80 commits
label
AI · DATA

Scope

What was actually built.

Ten-station CNN air-quality forecast service (TensorFlow/Keras regression) — CDS/FIRMS data extractors, nine forecast APIs, and cron scheduling. RMSE 11.05 / correlation 0.88 treated as an artifact/sample metric only.

Open project