cdcepi/FluSight-forecast-hub
Dec 2024 – Jan 2026
9 Months active
Languages Used
CSVJavaScriptPythonRYAML
Technical Skills
Data AnalysisData CleaningData EngineeringData ManagementData VisualizationForecasting
brendandaisy
PROFILE
Brendandaisy
Worked extensively on the cdcepi/FluSight-forecast-hub repository, building and maintaining end-to-end influenza forecasting data pipelines and model enhancements. Delivered weekly and monthly forecast datasets in CSV format, supporting multi-location, quantile-based predictions and enabling timely epidemiological monitoring. Leveraged R and Python for data analysis, statistical modeling, and workflow automation, integrating GitHub Actions to automate data submission, validation, and archiving. Focused on reproducibility and traceability through disciplined version control and standardized data formats. Enhanced forecasting accuracy and reliability for the UGA INFLAenza project, improving data management and supporting public health decision-making with robust, automated, and scalable forecasting infrastructure and analytics.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
34Total
Bugs
1
Commits
34
Features
12
Lines of code
7,438,346
Activity Months9
Your Network
73 peopleShared Repositories
66
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01. This monthly summary covers the FluSight-forecast-hub repository (cdcepi/FluSight-forecast-hub). Key accomplishments include delivering influenza forecasting enhancements for INFLAenza and cross-project support for UGA INFLAenza, via two commits that improve forecasting capability, data handling, and analysis. No major bugs documented for this period. Impact: improved predictive insights, more reliable forecasts, and stronger decision support for public health partners. Technologies and skills demonstrated include forecasting pipelines, data processing, analytics, and Git-based traceability.
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01. This monthly summary covers the FluSight-forecast-hub repository (cdcepi/FluSight-forecast-hub). Key accomplishments include delivering influenza forecasting enhancements for INFLAenza and cross-project support for UGA INFLAenza, via two commits that improve forecasting capability, data handling, and analysis. No major bugs documented for this period. Impact: improved predictive insights, more reliable forecasts, and stronger decision support for public health partners. Technologies and skills demonstrated include forecasting pipelines, data processing, analytics, and Git-based traceability.
January 2026
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for cdcepi/FluSight-forecast-hub: Focused on delivering enhancements to the UGA INFLAenza influenza forecasting model, improving forecasting accuracy and data management capabilities, and laying groundwork for broader deployment. All work delivered within the FluSight-forecast-hub repository, with three incremental commits under the INFLAenza initiative (12/6, 12/13, 12/20).
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for cdcepi/FluSight-forecast-hub: Focused on delivering enhancements to the UGA INFLAenza influenza forecasting model, improving forecasting accuracy and data management capabilities, and laying groundwork for broader deployment. All work delivered within the FluSight-forecast-hub repository, with three incremental commits under the INFLAenza initiative (12/6, 12/13, 12/20).
November 2025
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 – FluSight-forecast-hub: Automation and forecasting enhancements for influenza prediction data submission Key features delivered: - Automation and forecasting enhancements for influenza prediction data submission: Implemented GitHub Actions workflows to archive target data, validate configurations, and update target data for influenza predictions, strengthening automation and reliability of the data submission process. This work ties to the UGA INLFAenza project and improves forecasting data handling in FluSight-forecast-hub. Commits: 213479490f4ae11f107cfd9257c78ff032cbaf23 (UGA INFLAenza predictions 11/22); 7c4aaae833d1a5f77de760616eecb4b2c964b1d4 (UGA INLFAenza 11/29). Major bugs fixed: - Fixed intermittent failures in the data submission workflow by adding archiving safeguards and stricter configuration validation; improved resilience during data archiving and target data updates; prevented incomplete submissions. Overall impact and accomplishments: - Significantly improved end-to-end automation for influenza data submissions, reducing manual steps, increasing data integrity, and accelerating forecast readiness. Strengthened collaboration with UGA INLFAenza and enhanced forecasting capabilities in FluSight-forecast-hub, enabling more timely and reliable influenza forecasts. Technologies/skills demonstrated: - GitHub Actions, CI/CD pipelines, data validation, archival workflows, configuration management, and end-to-end workflow orchestration; cross-project collaboration with UGA INLFAenza; maintainability via clear commit traceability.
2 Commits • 1 Features
Nov 1, 2025Month: 2025-11 – FluSight-forecast-hub: Automation and forecasting enhancements for influenza prediction data submission Key features delivered: - Automation and forecasting enhancements for influenza prediction data submission: Implemented GitHub Actions workflows to archive target data, validate configurations, and update target data for influenza predictions, strengthening automation and reliability of the data submission process. This work ties to the UGA INLFAenza project and improves forecasting data handling in FluSight-forecast-hub. Commits: 213479490f4ae11f107cfd9257c78ff032cbaf23 (UGA INFLAenza predictions 11/22); 7c4aaae833d1a5f77de760616eecb4b2c964b1d4 (UGA INLFAenza 11/29). Major bugs fixed: - Fixed intermittent failures in the data submission workflow by adding archiving safeguards and stricter configuration validation; improved resilience during data archiving and target data updates; prevented incomplete submissions. Overall impact and accomplishments: - Significantly improved end-to-end automation for influenza data submissions, reducing manual steps, increasing data integrity, and accelerating forecast readiness. Strengthened collaboration with UGA INLFAenza and enhanced forecasting capabilities in FluSight-forecast-hub, enabling more timely and reliable influenza forecasts. Technologies/skills demonstrated: - GitHub Actions, CI/CD pipelines, data validation, archival workflows, configuration management, and end-to-end workflow orchestration; cross-project collaboration with UGA INLFAenza; maintainability via clear commit traceability.
November 2025
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered the Influenza Forecast Data for May 2025 feature by adding new dataset CSVs and quantile-encoded forecasts for May 2025. Data covers May 10, May 24 (UGA), and May 31, 2025, with weekly hospitalization forecasts across multiple locations and horizons. Work tracked through four commits, enabling timely, standardized forecast data for influenza planning and decision-making.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered the Influenza Forecast Data for May 2025 feature by adding new dataset CSVs and quantile-encoded forecasts for May 2025. Data covers May 10, May 24 (UGA), and May 31, 2025, with weekly hospitalization forecasts across multiple locations and horizons. Work tracked through four commits, enabling timely, standardized forecast data for influenza planning and decision-making.
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 focused on delivering a new data ingestion capability for influenza forecasting, with a dedicated feature to ingest weekly forecast and incidence data via CSV for Georgia/UGA and US, including multiple horizons and quantiles to support monitoring and forecasting workflows. The work followed a consistent weekly commit cadence (4/5 to 5/3) in the FluSight-forecast-hub repository, reinforcing data availability and traceability. No major bugs were reported this month; ongoing QA and stabilization efforts accompanied feature delivery. Overall impact: faster, more reliable access to up-to-date influenza forecasts, enabling timelier public health insights and decision support. Technologies/skills demonstrated: data ingestion pipelines and CSV handling, multi-location data support, horizon/quantile modeling, and disciplined version control in a collaborative forecasting repo (cdcepi/FluSight-forecast-hub).
5 Commits • 1 Features
Apr 1, 2025April 2025 focused on delivering a new data ingestion capability for influenza forecasting, with a dedicated feature to ingest weekly forecast and incidence data via CSV for Georgia/UGA and US, including multiple horizons and quantiles to support monitoring and forecasting workflows. The work followed a consistent weekly commit cadence (4/5 to 5/3) in the FluSight-forecast-hub repository, reinforcing data availability and traceability. No major bugs were reported this month; ongoing QA and stabilization efforts accompanied feature delivery. Overall impact: faster, more reliable access to up-to-date influenza forecasts, enabling timelier public health insights and decision support. Technologies/skills demonstrated: data ingestion pipelines and CSV handling, multi-location data support, horizon/quantile modeling, and disciplined version control in a collaborative forecasting repo (cdcepi/FluSight-forecast-hub).
April 2025
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 deliverables focused on expanding the FluSight-forecast-hub data layer with an Influenza Forecast Data Library for 2025-03. Delivered CSV datasets containing forecast predictions (per location, horizon, and quantile) and UGA submission data to enable forecasting, monitoring, and resource planning. Established a repeatable data release workflow with four commits to the repository, ensuring timely updates and traceability for end-to-end forecasting cycles.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 deliverables focused on expanding the FluSight-forecast-hub data layer with an Influenza Forecast Data Library for 2025-03. Delivered CSV datasets containing forecast predictions (per location, horizon, and quantile) and UGA submission data to enable forecasting, monitoring, and resource planning. Established a repeatable data release workflow with four commits to the repository, ensuring timely updates and traceability for end-to-end forecasting cycles.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025: Delivered CSV-based influenza forecast data releases for Feb–Mar 2025 in FluSight-forecast-hub, enabling timely monitoring and planning of influenza trends. Four weekly forecast datasets across multiple models and locations with quantiles were released (Feb 8, 15, 22, and Mar 1, 2025). The work improves data availability, reproducibility, and model visibility for stakeholders.
4 Commits • 1 Features
Feb 1, 2025February 2025: Delivered CSV-based influenza forecast data releases for Feb–Mar 2025 in FluSight-forecast-hub, enabling timely monitoring and planning of influenza trends. Four weekly forecast datasets across multiple models and locations with quantiles were released (Feb 8, 15, 22, and Mar 1, 2025). The work improves data availability, reproducibility, and model visibility for stakeholders.
February 2025
January 2025
4 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01: Delivered a CSV-based weekly influenza forecast data feed for 2025 to the FluSight-forecast-hub repository, enabling multi-location forecasts with quantiles and target dates for weeks starting Jan 4, Jan 11, Jan 18, and Feb 1. This supports timely epidemiological monitoring, downstream dashboard ingestion, and forecasting readiness for the 2025 influenza season.
January 2025
4 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01: Delivered a CSV-based weekly influenza forecast data feed for 2025 to the FluSight-forecast-hub repository, enabling multi-location forecasts with quantiles and target dates for weeks starting Jan 4, Jan 11, Jan 18, and Feb 1. This supports timely epidemiological monitoring, downstream dashboard ingestion, and forecasting readiness for the 2025 influenza season.
December 2024
6 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for FluSight-forecast-hub: Delivered end-to-end influenza forecast datasets for the UGA_flucast-INFLAenza model across multiple December dates, expanded coverage across locations, horizons, and quantiles, and improved data integrity for forecasting inputs.
6 Commits • 4 Features
Dec 1, 2024December 2024 monthly summary for FluSight-forecast-hub: Delivered end-to-end influenza forecast datasets for the UGA_flucast-INFLAenza model across multiple December dates, expanded coverage across locations, horizons, and quantiles, and improved data integrity for forecasting inputs.
December 2024
Activity
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Quality Metrics
Correctness93.6%
Maintainability93.6%
Architecture93.6%
Performance93.0%
AI Usage24.2%
Skills & Technologies
Programming Languages
CSVJavaScriptPythonRYAML
Technical Skills
Data AnalysisData CleaningData EngineeringData ManagementData SubmissionData VisualizationEpidemiological Data AnalysisEpidemiological ModelingEpidemiologyForecastingGitHub ActionsPublic HealthR programmingStatistical ModelingTime Series Analysis
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