Data scientist at SYSO building price forecasts, peak-load models, and dispatch/optimization algorithms for clients' renewable and battery storage assets. Day to day blends statistical/ML modeling in Python (plus R, MILP optimization) with deploying production-grade models and dashboards, using cloud tools like AWS, Metaflow, Databricks, or Kubeflow.
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