cdcepi/FluSight-forecast-hub
Nov 2024 – May 2026
14 Months active
Languages Used
CSVYAMLJavaScriptPythonR
Technical Skills
Data AnalysisData CleaningData ManagementData SubmissionData UpdateData Validation
James Turtle
PROFILE
James Turtle
Developed and maintained the FluSight-forecast-hub repository over 14 months, delivering end-to-end influenza forecasting pipelines and automated weekly data submissions. Built robust data engineering workflows using Python and R, integrating probabilistic modeling, time series forecasting, and validation automation to support public health decision-making. Enhanced data quality and traceability through version-controlled commits, standardized CSV schemas, and GitHub Actions for CI/CD automation. Introduced new models and metadata handling, expanded forecast coverage across locations and horizons, and streamlined reporting with automated archiving and validation. The work improved forecast timeliness, reproducibility, and operational efficiency, enabling reliable, auditable insights for epidemiological monitoring and planning.
Overall Statistics
Feature vs Bugs
94%Features
Repository Contributions
116Total
Bugs
2
Commits
116
Features
31
Lines of code
47,432,445
Activity Months14
Your Network
66 peopleShared Repositories
66
Work History
May 2026
8 Commits • 3 Features
May 1, 2026In May 2026, completed core FluSight-forecast-hub development with automated weekly submissions for PSI-PROF and PSI-PROF_MOA and a new CI/CD automation layer for data management. PSI-PROF weekly submissions were stabilized with 3 commits, and PSI-PROF_MOA weekly submissions with 4 commits, ensuring timely weekly projections. A GitHub Actions suite now archives target data, pulls baselines and ensembles, and validates configurations, automating data updates and improving reliability. These changes enhance data timeliness, quality, and governance, enabling faster, more confident decision-making for public health forecasting.
8 Commits • 3 Features
May 1, 2026In May 2026, completed core FluSight-forecast-hub development with automated weekly submissions for PSI-PROF and PSI-PROF_MOA and a new CI/CD automation layer for data management. PSI-PROF weekly submissions were stabilized with 3 commits, and PSI-PROF_MOA weekly submissions with 4 commits, ensuring timely weekly projections. A GitHub Actions suite now archives target data, pulls baselines and ensembles, and validates configurations, automating data updates and improving reliability. These changes enhance data timeliness, quality, and governance, enabling faster, more confident decision-making for public health forecasting.
May 2026
April 2026
10 Commits • 3 Features
Apr 1, 2026April 2026 (2026-04) - FluSight-forecast-hub: Delivered end-to-end forecasting enhancements and automation with a focus on business value. Key features include PSI-PROF Weekly Forecasting Feature, PSI-PROF_MOA forecasting hub enhancements, and FluSight data automation/validation. No discrete bugs listed in this period; existing stability improvements were achieved via automation and validation pipelines. The work improved forecast accuracy, timeliness, and reporting quality, while reducing manual processing and enabling consistent weekly submissions.
April 2026
10 Commits • 3 Features
Apr 1, 2026April 2026 (2026-04) - FluSight-forecast-hub: Delivered end-to-end forecasting enhancements and automation with a focus on business value. Key features include PSI-PROF Weekly Forecasting Feature, PSI-PROF_MOA forecasting hub enhancements, and FluSight data automation/validation. No discrete bugs listed in this period; existing stability improvements were achieved via automation and validation pipelines. The work improved forecast accuracy, timeliness, and reporting quality, while reducing manual processing and enabling consistent weekly submissions.
March 2026
8 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). The month delivered substantial feature work across PSI-PROF and FluSight hubs, focusing on data processing, reporting enhancements, and forecasting pipeline improvements. Weekly update cadence was maintained for PSI-PROF_MOA and FluSight hubs, driving stable data flows, dashboards, and analytics that enable faster decision-making.
8 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). The month delivered substantial feature work across PSI-PROF and FluSight hubs, focusing on data processing, reporting enhancements, and forecasting pipeline improvements. Weekly update cadence was maintained for PSI-PROF_MOA and FluSight hubs, driving stable data flows, dashboards, and analytics that enable faster decision-making.
March 2026
February 2026
8 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering forecast hub enhancements (PSI-PROF and PSI-PROF_MOA) and automating data archiving, baselines/ensembles pulling, and validation workflows to improve timeliness, reliability, and reproducibility of influenza forecast submissions.
February 2026
8 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering forecast hub enhancements (PSI-PROF and PSI-PROF_MOA) and automating data archiving, baselines/ensembles pulling, and validation workflows to improve timeliness, reliability, and reproducibility of influenza forecast submissions.
January 2026
9 Commits • 2 Features
Jan 1, 2026Month: 2026-01 — FluSight-forecast-hub (cdcepi/FluSight-forecast-hub) monthly overview focusing on feature delivery and data reporting cadence. Key work: automated weekly submission capability for PSI-PROF and PSI-PROF_MOA, and substantial PSI-PROF feature enhancements. No major bugs reported; stability improvements came from pipeline design and testing.
9 Commits • 2 Features
Jan 1, 2026Month: 2026-01 — FluSight-forecast-hub (cdcepi/FluSight-forecast-hub) monthly overview focusing on feature delivery and data reporting cadence. Key work: automated weekly submission capability for PSI-PROF and PSI-PROF_MOA, and substantial PSI-PROF feature enhancements. No major bugs reported; stability improvements came from pipeline design and testing.
January 2026
December 2025
8 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Delivered end-to-end PSI-PROF and FluSight forecasting enhancements in the FluSight-forecast-hub repo (cdcepi/FluSight-forecast-hub). Implemented reliable weekly submissions for PSI-PROF and PSI-PROF_MOA, refined model and data processing, and achieved accuracy improvements. Introduced reference_date and horizon handling to mirror last-week forecasts for consistency, and extended forecasting capabilities within FluSight as part of the PSI-PROF integration. These changes reduced manual overhead, accelerated forecast cadence, and strengthened decision-support for influenza season planning. Demonstrated capabilities in forecasting pipelines, data processing optimizations, version-controlled development, and cross-team PSI-PROF/FluSight collaboration.
December 2025
8 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Delivered end-to-end PSI-PROF and FluSight forecasting enhancements in the FluSight-forecast-hub repo (cdcepi/FluSight-forecast-hub). Implemented reliable weekly submissions for PSI-PROF and PSI-PROF_MOA, refined model and data processing, and achieved accuracy improvements. Introduced reference_date and horizon handling to mirror last-week forecasts for consistency, and extended forecasting capabilities within FluSight as part of the PSI-PROF integration. These changes reduced manual overhead, accelerated forecast cadence, and strengthened decision-support for influenza season planning. Demonstrated capabilities in forecasting pipelines, data processing optimizations, version-controlled development, and cross-team PSI-PROF/FluSight collaboration.
November 2025
5 Commits • 2 Features
Nov 1, 2025November 2025 highlights key updates to the FluSight-forecast-hub, focusing on forecast accuracy, data representation, and model governance. Delivered PSI-PROF updates and data fixes, while introducing a metadata-rich MOA-based forecasting model to replace PROF_beta. Established a regular cadence of weekly submissions to the hub, and implemented a date-range fix to ensure correct seasonal data alignment. These efforts improved data quality, transparency, and maintainability, accelerating public health decision-making and enabling faster iteration on forecasting methodologies.
5 Commits • 2 Features
Nov 1, 2025November 2025 highlights key updates to the FluSight-forecast-hub, focusing on forecast accuracy, data representation, and model governance. Delivered PSI-PROF updates and data fixes, while introducing a metadata-rich MOA-based forecasting model to replace PROF_beta. Established a regular cadence of weekly submissions to the hub, and implemented a date-range fix to ensure correct seasonal data alignment. These efforts improved data quality, transparency, and maintainability, accelerating public health decision-making and enabling faster iteration on forecasting methodologies.
November 2025
May 2025
9 Commits • 3 Features
May 1, 2025May 2025 – FluSight forecast hub (cdcepi/FluSight-forecast-hub). Focused on delivering weekly forecast data for PSI-PROF and PSI-PROF_beta and establishing a robust CSV-based weekly submission workflow. These enhancements improve forecast timeliness, enable richer visualization across locations and horizons, and standardize data sharing for decision-makers and researchers. Major bugs fixed: No major issues reported this month; activities centered on feature delivery and workflow stabilization. Overall impact and accomplishments: The delivered features expand forecasting coverage and data accessibility across locations, support probabilistic forecasting, and streamline weekly updates, contributing to faster, more reliable public health insights and research workflows. Technologies/skills demonstrated: Python-based data modeling, CSV I/O and workflow orchestration, probabilistic forecasting with quantiles, multi-model data integration (PSI-PROF and PSI-PROF_beta), and Git-based release discipline.
May 2025
9 Commits • 3 Features
May 1, 2025May 2025 – FluSight forecast hub (cdcepi/FluSight-forecast-hub). Focused on delivering weekly forecast data for PSI-PROF and PSI-PROF_beta and establishing a robust CSV-based weekly submission workflow. These enhancements improve forecast timeliness, enable richer visualization across locations and horizons, and standardize data sharing for decision-makers and researchers. Major bugs fixed: No major issues reported this month; activities centered on feature delivery and workflow stabilization. Overall impact and accomplishments: The delivered features expand forecasting coverage and data accessibility across locations, support probabilistic forecasting, and streamline weekly updates, contributing to faster, more reliable public health insights and research workflows. Technologies/skills demonstrated: Python-based data modeling, CSV I/O and workflow orchestration, probabilistic forecasting with quantiles, multi-model data integration (PSI-PROF and PSI-PROF_beta), and Git-based release discipline.
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered end-to-end weekly forecast data capabilities for PSI-PROF and PSI-PROF_beta models. Implemented weekly forecast data files with quantiles (and pmf fields for beta) across multiple weeks (Apr–May 2025), along with a dedicated weekly forecasting feature. This work enhances model monitoring, validation, and decision support for public health planning. No major bugs fixed this month; focus was on feature delivery, data quality, and repo readiness. Technologies demonstrated include Python-based data pipelines, quantile/PMF data handling, file-based forecasting, and robust commit-based traceability.
9 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered end-to-end weekly forecast data capabilities for PSI-PROF and PSI-PROF_beta models. Implemented weekly forecast data files with quantiles (and pmf fields for beta) across multiple weeks (Apr–May 2025), along with a dedicated weekly forecasting feature. This work enhances model monitoring, validation, and decision support for public health planning. No major bugs fixed this month; focus was on feature delivery, data quality, and repo readiness. Technologies demonstrated include Python-based data pipelines, quantile/PMF data handling, file-based forecasting, and robust commit-based traceability.
April 2025
March 2025
8 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered two major feature streams for the FluSight-forecast-hub with expanded weekly forecast data and rate-change metrics. No explicitly documented bug fixes; focus on feature expansion and data quality. Impact: extended forecast coverage across locations and horizons, enabling more timely decision support for influenza hospitalization planning and rate-change trend analysis. Technologies/skills demonstrated: Python data pipelines, data modeling for forecast outputs, probabilistic forecasting (quantiles), cross-repo collaboration, version control discipline, and data validation.
March 2025
8 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03: Delivered two major feature streams for the FluSight-forecast-hub with expanded weekly forecast data and rate-change metrics. No explicitly documented bug fixes; focus on feature expansion and data quality. Impact: extended forecast coverage across locations and horizons, enabling more timely decision support for influenza hospitalization planning and rate-change trend analysis. Technologies/skills demonstrated: Python data pipelines, data modeling for forecast outputs, probabilistic forecasting (quantiles), cross-repo collaboration, version control discipline, and data validation.
February 2025
8 Commits • 2 Features
Feb 1, 2025February 2025: Implemented two end-to-end weekly influenza hospitalization forecast data features for the FluSight-forecast-hub, delivering PSI-PROF and PSI-PROF_beta weekly forecasts across multiple locations and horizons. The PSI-PROF feature provides updated forecasts and trend monitoring; the PSI-PROF_beta feature adds probabilistic forecasts (quantiles) and rate-change information. The work aligns with Feb 22 and Mar 1 release cycles, improving timeliness, data richness, and decision support for health agencies. Maintained code quality and compatibility with existing pipelines, with concurrent commits across both models.
8 Commits • 2 Features
Feb 1, 2025February 2025: Implemented two end-to-end weekly influenza hospitalization forecast data features for the FluSight-forecast-hub, delivering PSI-PROF and PSI-PROF_beta weekly forecasts across multiple locations and horizons. The PSI-PROF feature provides updated forecasts and trend monitoring; the PSI-PROF_beta feature adds probabilistic forecasts (quantiles) and rate-change information. The work aligns with Feb 22 and Mar 1 release cycles, improving timeliness, data richness, and decision support for health agencies. Maintained code quality and compatibility with existing pipelines, with concurrent commits across both models.
February 2025
January 2025
11 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) Monthly Summary for FluSight-forecast-hub: Delivered end-to-end weekly forecast data updates for PSI-PROF and PSI-PROF_beta models, enabling timely influenza monitoring and public health planning. Features focused on weekly forecast data outputs, including forecast values and relevant quantiles for hospitalization and ILI metrics across multiple weeks. Despite no explicit major bugs documented, we stabilized and extended data pipelines for weekly updates, improving reliability and visibility of forecasts. The work demonstrates value in forecasting accuracy, timeliness, and cross-model data integration.
January 2025
11 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) Monthly Summary for FluSight-forecast-hub: Delivered end-to-end weekly forecast data updates for PSI-PROF and PSI-PROF_beta models, enabling timely influenza monitoring and public health planning. Features focused on weekly forecast data outputs, including forecast values and relevant quantiles for hospitalization and ILI metrics across multiple weeks. Despite no explicit major bugs documented, we stabilized and extended data pipelines for weekly updates, improving reliability and visibility of forecasts. The work demonstrates value in forecasting accuracy, timeliness, and cross-model data integration.
December 2024
10 Commits • 2 Features
Dec 1, 2024December 2024 quarterly/monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Delivered two major forecast publication features that expand data dissemination, improve coverage, and strengthen beta governance ahead of the winter season. PSI-PROF weekly forecasts are now published with automated weekly submissions, new CSV artifacts, and updates to existing data across multiple locations and horizons. PSI-PROF_beta weekly forecasts were launched with an initial season submission, ongoing weekly updates, a December 28 snapshot, and a successful promotion to active beta status. Both features incorporate enhanced metadata handling and versioning to ensure traceability and reproducibility. The work improves data freshness, broadened forecast coverage, and supports decision-making for public health planning with timely, auditable data releases.
10 Commits • 2 Features
Dec 1, 2024December 2024 quarterly/monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Delivered two major forecast publication features that expand data dissemination, improve coverage, and strengthen beta governance ahead of the winter season. PSI-PROF weekly forecasts are now published with automated weekly submissions, new CSV artifacts, and updates to existing data across multiple locations and horizons. PSI-PROF_beta weekly forecasts were launched with an initial season submission, ongoing weekly updates, a December 28 snapshot, and a successful promotion to active beta status. Both features incorporate enhanced metadata handling and versioning to ensure traceability and reproducibility. The work improves data freshness, broadened forecast coverage, and supports decision-making for public health planning with timely, auditable data releases.
December 2024
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering the PSI-PROF forecast data suite for the 2024-25 influenza season, including initial release and subsequent refinements, and on strengthening data quality and validation to support reliable forecasts and resubmission workflows. Demonstrated end-to-end forecast data product development, from data curation to weekly submissions, with explicit emphasis on accuracy, timeliness, and traceability.
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for cdcepi/FluSight-forecast-hub. Focused on delivering the PSI-PROF forecast data suite for the 2024-25 influenza season, including initial release and subsequent refinements, and on strengthening data quality and validation to support reliable forecasts and resubmission workflows. Demonstrated end-to-end forecast data product development, from data curation to weekly submissions, with explicit emphasis on accuracy, timeliness, and traceability.
Activity
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Quality Metrics
Correctness83.0%
Maintainability82.8%
Architecture82.0%
Performance81.2%
AI Usage32.0%
Skills & Technologies
Programming Languages
CSVJavaScriptPythonRYAML
Technical Skills
API integrationConfiguration ManagementData AnalysisData CleaningData EngineeringData GenerationData ManagementData SubmissionData UpdateData ValidationData VisualizationEpidemiological ModelingEpidemiologyForecastingGitHub Actions
Repositories Contributed To
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