Scope
The system ingests raw events, computes features, trains models, and serves forecasts behind a stable API.
The core requirement: repeatability. Every number must be attributable to a dataset and a versioned model.
2024Data Platform Engineer6 weeks
Neural Analytics Engine
Predictive modeling toolkit forecasting traffic and demand patterns with dependable ML pipelines and clean, chart-first reporting.
PythonFastAPI
ES
Highlights
- Codified feature engineering into repeatable pipeline steps.
- Built an evaluation harness that made model regressions obvious.
- Shipped forecast reports designed for busy stakeholders.
Forecast Error
-17%
Pipeline Runtime
-41%
Model Rollbacks
0
Implementation Notes
FastAPI powers the inference layer, while the training pipeline uses deterministic seeds and manifest-based artifacts.
A small set of "golden" scenarios ensures we catch regressions before promoting a model.
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