cdcepi/FluSight-forecast-hub
Nov 2024 – May 2026
8 Months active
Languages Used
CSVPythonYAMLRJavaScript
Technical Skills
Data AnalysisData EngineeringData UpdateForecastingTime Series AnalysisPython
MayaSal
PROFILE
Mayasal
Over eight months, this developer delivered and maintained data forecasting features for the cdcepi/FluSight-forecast-hub repository, focusing on NAU and influenza forecast updates. They implemented automated data pipelines and validation workflows using Python, R, and GitHub Actions, ensuring timely and reproducible forecast releases. Their work included integrating INLA-based probabilistic forecasts, standardizing data formats, and introducing YAML-based metadata documentation to improve governance and compliance. By automating data archiving and validation, they enhanced data reliability and accessibility for public health and agricultural planning. All changes were tracked with clear commit histories, supporting auditability and robust version control across the project lifecycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
31Total
Bugs
0
Commits
31
Features
12
Lines of code
44,430,150
Activity Months8
Your Network
77 peopleSame Organization
@uga.edu11
Shared Repositories
66
Work History
May 2026
4 Commits • 2 Features
May 1, 2026Month: 2026-05 — Key contributions in cdcepi/FluSight-forecast-hub focused on expanding NAU forecast coverage for May 2026 and establishing robust forecast data management workflows. Delivered concrete features with accompanying commits, with no major bugs reported this month. These efforts improved forecast accuracy, data accessibility, and governance for the FluSight hub, driving faster decision-making for public health planning.
4 Commits • 2 Features
May 1, 2026Month: 2026-05 — Key contributions in cdcepi/FluSight-forecast-hub focused on expanding NAU forecast coverage for May 2026 and establishing robust forecast data management workflows. Delivered concrete features with accompanying commits, with no major bugs reported this month. These efforts improved forecast accuracy, data accessibility, and governance for the FluSight hub, driving faster decision-making for public health planning.
May 2026
April 2026
5 Commits • 2 Features
Apr 1, 2026Month: 2026-04 | Repository: cdcepi/FluSight-forecast-hub. Delivered two core features with an emphasis on data reliability and automation. NAU Forecast Updates applied across multiple dates to reflect latest data and improve predictive capabilities. Forecast Data Automation introduced with GitHub Actions to archive and validate FluSight forecast data, strengthening data governance and forecast reliability.
April 2026
5 Commits • 2 Features
Apr 1, 2026Month: 2026-04 | Repository: cdcepi/FluSight-forecast-hub. Delivered two core features with an emphasis on data reliability and automation. NAU Forecast Updates applied across multiple dates to reflect latest data and improve predictive capabilities. Forecast Data Automation introduced with GitHub Actions to archive and validate FluSight forecast data, strengthening data governance and forecast reliability.
March 2026
4 Commits • 1 Features
Mar 1, 2026March 2026 focused on delivering updated NAU forecasts for the FluSight Forecast Hub to strengthen real-time forecasting for the 2026-03 window. Key work delivered includes four sequential forecast updates for the NAU forecasts, integrated into the FluSight-forecast-hub to improve end-user predictive capabilities. No major bugs reported for this feature; all changes are tracked via explicit commits to ensure reproducibility.
4 Commits • 1 Features
Mar 1, 2026March 2026 focused on delivering updated NAU forecasts for the FluSight Forecast Hub to strengthen real-time forecasting for the 2026-03 window. Key work delivered includes four sequential forecast updates for the NAU forecasts, integrated into the FluSight-forecast-hub to improve end-user predictive capabilities. No major bugs reported for this feature; all changes are tracked via explicit commits to ensure reproducibility.
March 2026
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering timely NAU forecast updates and establishing robust data management workflows for influenza forecast data to improve reliability, accessibility, and decision-making.
February 2026
4 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering timely NAU forecast updates and establishing robust data management workflows for influenza forecast data to improve reliability, accessibility, and decision-making.
January 2026
5 Commits • 1 Features
Jan 1, 2026January 2026: Consolidated NAU forecast updates for the FluSight-forecast-hub, delivering timely NAU projections and model refinements across multiple release dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31). This work improved timeliness, fidelity, and reproducibility, supporting planning and decision-making for NAU-related outcomes.
5 Commits • 1 Features
Jan 1, 2026January 2026: Consolidated NAU forecast updates for the FluSight-forecast-hub, delivering timely NAU projections and model refinements across multiple release dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31). This work improved timeliness, fidelity, and reproducibility, supporting planning and decision-making for NAU-related outcomes.
January 2026
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 highlights: Delivered updated NAU forecasts for the FluSight-forecast-hub covering dates 2025-12-13, 2025-12-20, and 2025-12-27. These updates reflect the latest observations and predictions to support agricultural planning and decision-making. All changes are tracked in the cdcepi/FluSight-forecast-hub repository with clear commit history and cadence, enabling reproducibility and auditability.
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 highlights: Delivered updated NAU forecasts for the FluSight-forecast-hub covering dates 2025-12-13, 2025-12-20, and 2025-12-27. These updates reflect the latest observations and predictions to support agricultural planning and decision-making. All changes are tracked in the cdcepi/FluSight-forecast-hub repository with clear commit history and cadence, enabling reproducibility and auditability.
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025 (2025-11) - cdcepi/FluSight-forecast-hub Key features delivered: - Model Metadata and Licensing Documentation: Added a YAML metadata file for the Fourier Calendar Aware Transformer model, including team information, model methods, and licensing details to improve governance, transparency, and compliance. - NAU Forecast Data Updates and Quality Improvements: Consolidated NAU forecast data updates, standardizing values as integers for consistency and refreshing forecasts for 2025-11-29 to improve accuracy and timeliness. Major bugs fixed: - Data quality and consistency: Corrected forecast data representation by converting NAU values to integers to prevent downstream calculation inconsistencies. - Data freshness: Updated and validated forecasts for 2025-11-29 to reduce data staleness and improve timeliness. Overall impact and accomplishments: - Strengthened model governance and licensing clarity with a documented model metadata YAML, supporting reproducibility and compliance. - Improved data integrity and reliability of NAU forecasts, enabling more confident decision-making and end-user trust. - Clearer change history and traceability through targeted commits and descriptive messages, facilitating future reviews and onboarding. Technologies/skills demonstrated: - YAML metadata documentation and governance practices - Data wrangling and type consistency (integer normalization) for forecast data - Version control discipline with concise commit messages and linkage to work items - Domain knowledge in NAU forecasting and FluSight hub workflows
3 Commits • 2 Features
Nov 1, 2025November 2025 (2025-11) - cdcepi/FluSight-forecast-hub Key features delivered: - Model Metadata and Licensing Documentation: Added a YAML metadata file for the Fourier Calendar Aware Transformer model, including team information, model methods, and licensing details to improve governance, transparency, and compliance. - NAU Forecast Data Updates and Quality Improvements: Consolidated NAU forecast data updates, standardizing values as integers for consistency and refreshing forecasts for 2025-11-29 to improve accuracy and timeliness. Major bugs fixed: - Data quality and consistency: Corrected forecast data representation by converting NAU values to integers to prevent downstream calculation inconsistencies. - Data freshness: Updated and validated forecasts for 2025-11-29 to reduce data staleness and improve timeliness. Overall impact and accomplishments: - Strengthened model governance and licensing clarity with a documented model metadata YAML, supporting reproducibility and compliance. - Improved data integrity and reliability of NAU forecasts, enabling more confident decision-making and end-user trust. - Clearer change history and traceability through targeted commits and descriptive messages, facilitating future reviews and onboarding. Technologies/skills demonstrated: - YAML metadata documentation and governance practices - Data wrangling and type consistency (integer normalization) for forecast data - Version control discipline with concise commit messages and linkage to work items - Domain knowledge in NAU forecasting and FluSight hub workflows
November 2025
November 2024
3 Commits • 1 Features
Nov 1, 2024Month 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.
November 2024
3 Commits • 1 Features
Nov 1, 2024Month 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.
Activity
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Quality Metrics
Correctness97.4%
Maintainability94.2%
Architecture94.2%
Performance94.2%
AI Usage22.6%
Skills & Technologies
Programming Languages
CSVJavaScriptPythonRYAML
Technical Skills
Data AnalysisData EngineeringData UpdateForecastingGitHub ActionsPythonR programmingTime Series Analysisautomationdata analysisdata archivingdata modelingdata validationdocumentationforecasting
Repositories Contributed To
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