Jera
Time Series Forecasting & Automation
Forecasting models for electricity consumption and anomalies, wired into automated training and serving pipelines.
What we built
- Consumption and anomaly forecasting from weather, historical usage, and external factors
- Kubeflow pipelines for data collection, training, serving, and retraining
- Scheduled retraining so forecasts stay current without manual work
Growth & metrics
- 20% increase in economic efficiency for electricity generation
Delivered by Pavlo Holubchykov, Raw Code's Lead ML/AI Developer.
Figures here are as reported by the client engagement record — they haven't been independently verified by Raw Code.
More work
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