
Developed and maintained influenza forecast data releases for the cdcepi/FluSight-forecast-hub repository, focusing on INLA-based probabilistic forecasts for November 2024. Leveraged data engineering and time series analysis skills to generate and validate CSV datasets spanning multiple locations and forecast horizons. Addressed data integrity by re-adding refreshed November 23 data, ensuring forecast accuracy and reliability for downstream public health applications. Automated release processes and maintained thorough documentation to support reproducibility and auditability. Collaborated across teams to validate data compatibility, utilizing version control and data validation techniques. The work enhanced forecast availability, supporting timely decision-making for public health stakeholders and data consumers.
Month 2024-11 for FluSight-forecast-hub: Delivered INLA-based influenza forecast CSV data releases for November 2024 (Nov 23 and Nov 30) with probabilistic forecasts across multiple locations and horizons. A targeted bug fix re-added the Nov 23 data after a refresh to preserve forecast accuracy. Overall impact includes improved forecast availability and reliability for end users, supporting timely public health decision-making. Demonstrated technologies/skills include INLA forecasting, CSV-based data pipelines, release automation, data validation, version control, and cross-team collaboration.
Month 2024-11 for FluSight-forecast-hub: Delivered INLA-based influenza forecast CSV data releases for November 2024 (Nov 23 and Nov 30) with probabilistic forecasts across multiple locations and horizons. A targeted bug fix re-added the Nov 23 data after a refresh to preserve forecast accuracy. Overall impact includes improved forecast availability and reliability for end users, supporting timely public health decision-making. Demonstrated technologies/skills include INLA forecasting, CSV-based data pipelines, release automation, data validation, version control, and cross-team collaboration.

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