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, delivering them as accessible CSV files to support public health planning and 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 demonstrated depth in handling time series data and building transparent, reusable data pipelines, though the scope was limited to a single feature release within the month.
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
65 peopleShared Repositories
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AI4Casting Hub AdminMember
aperofskyMember
aleurbiMember
aniruddhadigaMember
Annabella HinesMember
Anna KrystalliMember
aperofskyMember
brendandaisyMember
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
Repositories Contributed To
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