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    Simon Andersson

    Fast forwarding healthcare with data science and machine learning @ Kry

    Simon Andersson is an experienced professional with a strong background in machine learning. He has a proven track record of ideating, modeling, and deploying various models in production, particularly within the Swedish power distribution grid sector. Simon's models have significantly contributed to creating considerable business value, with several million SEK generated annually. His expertise includes developing accurate load forecasting models with a low mean absolute error (MAE) at different time horizons, integrating quantile regression to establish uncertainty boundaries for better decision-making. Simon has streamlined the deployment process by automating ML model retraining, Bayesian optimization, and metadata documentation, enhancing efficiency and accuracy in model deployment.

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    Location

    Stockholm County, Sweden