cdcepi/FluSight-forecast-hub
Dec 2024 – Dec 2024
1 Month active
Languages Used
CSV
Technical Skills
Data AnalysisData EngineeringForecastingTime Series AnalysisTime Series Forecasting
ausmeyer
PROFILE
Ausmeyer
Austin Meyer developed and released new influenza forecasting data assets for the cdcepi/FluSight-forecast-hub repository, focusing on ensemble forecasts and weekly hospitalization rate changes. He engineered and consolidated MIGHTE-Nsemble and MIGHT-Joint datasets, structuring them as accessible CSV files to support public health decision-making. Leveraging skills in data analysis, time series forecasting, and data engineering, Austin ensured the datasets covered multiple locations and forecast horizons, aligning with project data standards. The work provided transparent, actionable data for monitoring influenza trends, with no major bugs reported. The depth of the release reflects careful attention to data quality and usability for downstream users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
11,874
Activity Months1
Your Network
63 people
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 focused on delivering critical influenza forecasting data assets for the FluSight-forecast-hub, consolidating ensemble forecast data and hospitalization rate changes into accessible CSV datasets. The work supported decision-making and public health planning by providing MIGHTE ensemble forecasts and weekly incidence data across multiple locations and horizons. No major bugs were reported this month. The release strengthens forecasting capabilities and data transparency while aligning with the project’s data release standards. Key efforts included two release commits on 12/28 that introduced MIGHTE-Nsemble and MIGHT-Joint datasets.
2 Commits • 1 Features
Dec 1, 2024December 2024 focused on delivering critical influenza forecasting data assets for the FluSight-forecast-hub, consolidating ensemble forecast data and hospitalization rate changes into accessible CSV datasets. The work supported decision-making and public health planning by providing MIGHTE ensemble forecasts and weekly incidence data across multiple locations and horizons. No major bugs were reported this month. The release strengthens forecasting capabilities and data transparency while aligning with the project’s data release standards. Key efforts included two release commits on 12/28 that introduced MIGHTE-Nsemble and MIGHT-Joint datasets.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSV
Technical Skills
Data AnalysisData EngineeringForecastingTime Series AnalysisTime Series Forecasting
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