cdcepi/FluSight-forecast-hub
Nov 2024 – May 2026
14 Months active
Languages Used
CSVPythonYAMLRJavaScriptNone
Technical Skills
Configuration ManagementData AnalysisData CleaningData CorrectionData EngineeringData Formatting
ramiyaari
PROFILE
Ramiyaari
Worked extensively on the cdcepi/FluSight-forecast-hub, delivering end-to-end influenza forecast data pipelines that support public health planning and decision-making. Developed and maintained automated workflows for data ingestion, validation, and archiving using Python, R, and GitHub Actions, ensuring reproducibility and traceability across weekly and monthly forecast releases. Enhanced forecasting logic, metadata management, and data schema consistency to improve accuracy, reliability, and downstream analytics. Addressed data quality through bug fixes, naming standardization, and robust version control practices. The work enabled timely, auditable forecasts and streamlined data governance, supporting operational efficiency and reliable delivery of decision-ready epidemiological insights.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
99Total
Bugs
6
Commits
99
Features
25
Lines of code
77,957,390
Activity Months14
Your Network
66 peopleShared Repositories
66
Work History
May 2026
6 Commits • 2 Features
May 1, 2026Month: 2026-05 — Summary for cdcepi/FluSight-forecast-hub. Delivered three core outcomes that drive business value: updated forecasts for May 2026 reference dates to improve relevance and accuracy; codebase and documentation naming consistency fixes to reduce confusion and improve metadata clarity; and automation for data archiving and validation to enhance data reliability and governance. These initiatives align forecasting outputs with operational needs and strengthen data quality controls. Key achievements include: - Updated FluSight forecasts for May 2026 reference dates (2026-05-09, 2026-05-23, 2026-05-30) with commits: bbcb559fecba89805055a7ff7de0ea4e4f79cfea; 41175f1bcf68c15a617e7348d044c3f452cc4419; 2dfe269a76e94c7f3b1398aa98d7f4c794de439b. - Named inconsistencies resolved across codebase and documentation, including cleaner identifiers and metadata, with commits: 3ec3524790e6bbc3375a83b7b1fc4d82fd68c844; 3b29a4d6f02f07a7ac47efbb35ea1501b153ce35. - Implemented GitHub Actions workflows to automate archiving and validation of FluSight forecast data for the season, with commit: 87d9e780a1dd0ffec6294699746df9d840524e37. Overall impact and accomplishments: forecasts are more timely and accurate; data governance and traceability are improved; operational efficiency is increased through automation; business value is enhanced via reliable decision-ready forecasts and clearer, consistent data identifiers. Technologies/skills demonstrated: forecast data pipelines, Git version control, CI/CD with GitHub Actions, data governance and quality controls, documentation alignment and refactoring.
6 Commits • 2 Features
May 1, 2026Month: 2026-05 — Summary for cdcepi/FluSight-forecast-hub. Delivered three core outcomes that drive business value: updated forecasts for May 2026 reference dates to improve relevance and accuracy; codebase and documentation naming consistency fixes to reduce confusion and improve metadata clarity; and automation for data archiving and validation to enhance data reliability and governance. These initiatives align forecasting outputs with operational needs and strengthen data quality controls. Key achievements include: - Updated FluSight forecasts for May 2026 reference dates (2026-05-09, 2026-05-23, 2026-05-30) with commits: bbcb559fecba89805055a7ff7de0ea4e4f79cfea; 41175f1bcf68c15a617e7348d044c3f452cc4419; 2dfe269a76e94c7f3b1398aa98d7f4c794de439b. - Named inconsistencies resolved across codebase and documentation, including cleaner identifiers and metadata, with commits: 3ec3524790e6bbc3375a83b7b1fc4d82fd68c844; 3b29a4d6f02f07a7ac47efbb35ea1501b153ce35. - Implemented GitHub Actions workflows to automate archiving and validation of FluSight forecast data for the season, with commit: 87d9e780a1dd0ffec6294699746df9d840524e37. Overall impact and accomplishments: forecasts are more timely and accurate; data governance and traceability are improved; operational efficiency is increased through automation; business value is enhanced via reliable decision-ready forecasts and clearer, consistent data identifiers. Technologies/skills demonstrated: forecast data pipelines, Git version control, CI/CD with GitHub Actions, data governance and quality controls, documentation alignment and refactoring.
May 2026
April 2026
5 Commits • 2 Features
Apr 1, 2026Monthly summary for April 2026 (cdcepi/FluSight-forecast-hub). Delivered two core capabilities while strengthening data integrity and automation across the forecasting workflow. Key achievements and implemented changes include: - Forecasting logic updates to support multiple 2026 reference dates (April 4, April 18, April 25, and May 2), with per-date commits to ensure accurate, timely forecasts (commits: 829015c04c70ad0c0a1b8cfc7cf13495c874bd58; f93abfa200337f3e1a3d7d3f832244895258d24c; 230c2222f9343c5e66cf6fa0f956c25f01fd1822; 2e53216d9bfdc0c727559a80c68fdefbd7f4e980). - Automated data archiving and validation for FluSight forecast data via GitHub Actions, enabling reproducible archival and automated quality checks for the 2025-2026 influenza season (commit: d2de3470cd49756eb7d39f3b11bf1e981a80cac7). Impact and business value: - Increased forecast accuracy and relevance for critical reference dates, improving public health decision support. - Improved data integrity, traceability, and reproducibility through CI/CD-driven archiving and validation. - Reduced manual validation overhead and faster iteration cycles for forecast data and releases. Technologies/skills demonstrated: - Git version control and commit traceability - GitHub Actions CI/CD for data archiving and validation - Data validation pipelines and release automation - Collaboration and documentation within a forecast hub repository
April 2026
5 Commits • 2 Features
Apr 1, 2026Monthly summary for April 2026 (cdcepi/FluSight-forecast-hub). Delivered two core capabilities while strengthening data integrity and automation across the forecasting workflow. Key achievements and implemented changes include: - Forecasting logic updates to support multiple 2026 reference dates (April 4, April 18, April 25, and May 2), with per-date commits to ensure accurate, timely forecasts (commits: 829015c04c70ad0c0a1b8cfc7cf13495c874bd58; f93abfa200337f3e1a3d7d3f832244895258d24c; 230c2222f9343c5e66cf6fa0f956c25f01fd1822; 2e53216d9bfdc0c727559a80c68fdefbd7f4e980). - Automated data archiving and validation for FluSight forecast data via GitHub Actions, enabling reproducible archival and automated quality checks for the 2025-2026 influenza season (commit: d2de3470cd49756eb7d39f3b11bf1e981a80cac7). Impact and business value: - Increased forecast accuracy and relevance for critical reference dates, improving public health decision support. - Improved data integrity, traceability, and reproducibility through CI/CD-driven archiving and validation. - Reduced manual validation overhead and faster iteration cycles for forecast data and releases. Technologies/skills demonstrated: - Git version control and commit traceability - GitHub Actions CI/CD for data archiving and validation - Data validation pipelines and release automation - Collaboration and documentation within a forecast hub repository
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly highlights for cdcepi/FluSight-forecast-hub: delivered targeted forecasting logic enhancements for multiple March 2026 reference dates and fixed a file naming convention issue to improve clarity and maintainability. The work enhances forecast accuracy, aligns outputs with key decision dates, and reduces confusion in file artifacts.
5 Commits • 1 Features
Mar 1, 2026March 2026 monthly highlights for cdcepi/FluSight-forecast-hub: delivered targeted forecasting logic enhancements for multiple March 2026 reference dates and fixed a file naming convention issue to improve clarity and maintainability. The work enhances forecast accuracy, aligns outputs with key decision dates, and reduces confusion in file artifacts.
March 2026
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for FluSight-forecast-hub: Delivered concrete improvements to forecasting accuracy and data lifecycle, aligning outputs with 2026 reference dates and ensuring reliable, auditable forecast data for decision-makers.
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for FluSight-forecast-hub: Delivered concrete improvements to forecasting accuracy and data lifecycle, aligning outputs with 2026 reference dates and ensuring reliable, auditable forecast data for decision-makers.
January 2026
12 Commits • 1 Features
Jan 1, 2026January 2026 focused on strengthening forecast quality, reliability, and deployment hygiene for FluSight-forecast-hub. Key work included delivering January 2026 forecast data updates across multiple reference dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31) and consolidating forecast model enhancements to improve accuracy, relevance, and coverage. In parallel, reliability and packaging fixes were implemented to prevent negative probabilities, correct pmf values, and fix model/output filenames, contributing to a more robust forecasting pipeline and easier downstream consumption.
12 Commits • 1 Features
Jan 1, 2026January 2026 focused on strengthening forecast quality, reliability, and deployment hygiene for FluSight-forecast-hub. Key work included delivering January 2026 forecast data updates across multiple reference dates (2026-01-03, 2026-01-10, 2026-01-17, 2026-01-24, 2026-01-31) and consolidating forecast model enhancements to improve accuracy, relevance, and coverage. In parallel, reliability and packaging fixes were implemented to prevent negative probabilities, correct pmf values, and fix model/output filenames, contributing to a more robust forecasting pipeline and easier downstream consumption.
January 2026
December 2025
11 Commits • 3 Features
Dec 1, 2025December 2025: Implemented ARNB_Net influenza hospitalization forecasts with naming consistency, delivered reference-date outputs (2025-12-06 and 2025-12-27), and integrated ensemble considerations. Completed CU-ARNB_Net metadata improvements (contributors, data_inputs formatting, URLs, methods) and provided forecasts for 2025-12-13 and 2025-12-20. Built ensemble forecasting capabilities and nowcasts to improve accuracy and timeliness, including ensemble forecasts for 2025-12-20. Fixed critical metadata errors and expanded forecast coverage across reference dates. Result: clearer, more auditable forecasts, enhanced data quality, and stronger support for public health decision-making.
December 2025
11 Commits • 3 Features
Dec 1, 2025December 2025: Implemented ARNB_Net influenza hospitalization forecasts with naming consistency, delivered reference-date outputs (2025-12-06 and 2025-12-27), and integrated ensemble considerations. Completed CU-ARNB_Net metadata improvements (contributors, data_inputs formatting, URLs, methods) and provided forecasts for 2025-12-13 and 2025-12-20. Built ensemble forecasting capabilities and nowcasts to improve accuracy and timeliness, including ensemble forecasts for 2025-12-20. Fixed critical metadata errors and expanded forecast coverage across reference dates. Result: clearer, more auditable forecasts, enhanced data quality, and stronger support for public health decision-making.
November 2025
7 Commits • 4 Features
Nov 1, 2025November 2025 (Month: 2025-11) - FluSight-forecast-hub monthly summary for cdcepi. This period focused on delivering automation, accuracy enhancements, and expanded forecasting options to support reliable influenza forecasting for the 2024-2025 season. Key work included CI-driven data pipeline automation and validation, metadata updates with new contributor information and improved nowcasting methods, flexible reference-date forecast submissions (including non-peak options), peak prediction improvements using the last missing week of data, and a data-quality fix to remove duplicate submissions of Emergency Department visits.
7 Commits • 4 Features
Nov 1, 2025November 2025 (Month: 2025-11) - FluSight-forecast-hub monthly summary for cdcepi. This period focused on delivering automation, accuracy enhancements, and expanded forecasting options to support reliable influenza forecasting for the 2024-2025 season. Key work included CI-driven data pipeline automation and validation, metadata updates with new contributor information and improved nowcasting methods, flexible reference-date forecast submissions (including non-peak options), peak prediction improvements using the last missing week of data, and a data-quality fix to remove duplicate submissions of Emergency Department visits.
November 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance summary for cdcepi/FluSight-forecast-hub: Delivered a new Forecast CSV Data feature that publishes weekly ILI hospitalization forecasts across multiple reference dates, locations, and horizons. The data is structured with fields reference_date, target, horizon, target_end_date, location, output_type, output_type_id, value, enabling near real-time public health monitoring and planning. Commits: 5d68ada83bab0e219555feaaa11bb2a59fd845d8; b94aa3eb9088cd5aa1041d8b4d7a2a46737eabcd; 1d49ba1628e329ba59883196aeca6abcd6f55126.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance summary for cdcepi/FluSight-forecast-hub: Delivered a new Forecast CSV Data feature that publishes weekly ILI hospitalization forecasts across multiple reference dates, locations, and horizons. The data is structured with fields reference_date, target, horizon, target_end_date, location, output_type, output_type_id, value, enabling near real-time public health monitoring and planning. Commits: 5d68ada83bab0e219555feaaa11bb2a59fd845d8; b94aa3eb9088cd5aa1041d8b4d7a2a46737eabcd; 1d49ba1628e329ba59883196aeca6abcd6f55126.
April 2025
5 Commits • 1 Features
Apr 1, 2025In April 2025, delivered the influenza hospitalization forecast data publishing series for FluSight-forecast-hub (April–May 2025). Implemented forecast data files for ILI hospitalizations across multiple reference dates (2025-04-05, 04-12, 04-19, 04-26, 05-03), covering locations, horizons, and output metrics to enable downstream forecasting analyses and planning with up-to-date predictive data. Backed by five commits ensuring reproducibility: 1c41bf0d60553750f54da17eabd8dec6d82ae874; bf9a50e14fcc4cc0a9a008d73f5e6321d4083220; fa5eb5758de4288f93fc6dfdb7dbdd21289ecdd5; a5d5c97ff3b555b8554f268adacd9969cf91549c; 6c3ba25df383ae20c85df960654a94eef97dc904. No major bugs fixed this month. This work improves data availability for forecasting, enabling faster decision-making and better planning. Demonstrates skills in data publishing pipelines, version control, and cross-date data handling to support reproducible analyses.
5 Commits • 1 Features
Apr 1, 2025In April 2025, delivered the influenza hospitalization forecast data publishing series for FluSight-forecast-hub (April–May 2025). Implemented forecast data files for ILI hospitalizations across multiple reference dates (2025-04-05, 04-12, 04-19, 04-26, 05-03), covering locations, horizons, and output metrics to enable downstream forecasting analyses and planning with up-to-date predictive data. Backed by five commits ensuring reproducibility: 1c41bf0d60553750f54da17eabd8dec6d82ae874; bf9a50e14fcc4cc0a9a008d73f5e6321d4083220; fa5eb5758de4288f93fc6dfdb7dbdd21289ecdd5; a5d5c97ff3b555b8554f268adacd9969cf91549c; 6c3ba25df383ae20c85df960654a94eef97dc904. No major bugs fixed this month. This work improves data availability for forecasting, enabling faster decision-making and better planning. Demonstrates skills in data publishing pipelines, version control, and cross-date data handling to support reproducible analyses.
April 2025
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focused on delivering end-to-end Influenza Forecast Data Ingestion for the FluSight Hub, expanding forecast coverage and data freshness to support planning and decision-making. Implemented ingestion and exposure of weekly hospitalization forecasts across multiple reference dates, locations, and horizons, including ILI-related forecasts and rate-of-change updates, with strong traceability across commits.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focused on delivering end-to-end Influenza Forecast Data Ingestion for the FluSight Hub, expanding forecast coverage and data freshness to support planning and decision-making. Implemented ingestion and exposure of weekly hospitalization forecasts across multiple reference dates, locations, and horizons, including ILI-related forecasts and rate-of-change updates, with strong traceability across commits.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 performance summary: Delivered expanded influenza hospitalization forecast data ingestion for the FluSight-forecast-hub, covering weekly forecasts for reference dates 2025-02-08, 2025-02-15, and 2025-02-22. Implemented March 2025 forecast ingestion via a new CSV file with probabilistic scenarios, aligning data model across forecasts and exposing data for downstream analytics. The work supports timely public health decision-making, dashboard readiness, and data-driven planning.
4 Commits • 2 Features
Feb 1, 2025February 2025 performance summary: Delivered expanded influenza hospitalization forecast data ingestion for the FluSight-forecast-hub, covering weekly forecasts for reference dates 2025-02-08, 2025-02-15, and 2025-02-22. Implemented March 2025 forecast ingestion via a new CSV file with probabilistic scenarios, aligning data model across forecasts and exposing data for downstream analytics. The work supports timely public health decision-making, dashboard readiness, and data-driven planning.
February 2025
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered influenza hospitalization forecast data updates for 2025 weekly forecasts, enabling timely reference-date-based data for forecasting and monitoring. Implemented the addition of forecast data CSVs for reference dates 2025-01-04, 2025-01-11, 2025-01-18, and 2025-02-01, including weekly influenza hospitalizations and rate changes by location and horizon with quantiles. This supports forecasting accuracy, monitoring, and downstream model evaluation. No major bugs fixed this month; platform stability was maintained. The work includes commit-level traceability with per-reference-date changes to enhance reproducibility and data governance.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for cdcepi/FluSight-forecast-hub: Delivered influenza hospitalization forecast data updates for 2025 weekly forecasts, enabling timely reference-date-based data for forecasting and monitoring. Implemented the addition of forecast data CSVs for reference dates 2025-01-04, 2025-01-11, 2025-01-18, and 2025-02-01, including weekly influenza hospitalizations and rate changes by location and horizon with quantiles. This supports forecasting accuracy, monitoring, and downstream model evaluation. No major bugs fixed this month; platform stability was maintained. The work includes commit-level traceability with per-reference-date changes to enhance reproducibility and data governance.
December 2024
9 Commits • 2 Features
Dec 1, 2024December 2024 (2024-12) – FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Delivered key forecast data updates and metadata changes that expand coverage, improve data integrity, and align forecasting inputs with modeling assumptions. This work enhances decision support for December planning and reduces downstream data issues.
9 Commits • 2 Features
Dec 1, 2024December 2024 (2024-12) – FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Delivered key forecast data updates and metadata changes that expand coverage, improve data integrity, and align forecasting inputs with modeling assumptions. This work enhances decision support for December planning and reduces downstream data issues.
December 2024
November 2024
18 Commits • 2 Features
Nov 1, 2024Month: 2024-11. Focused on delivering metadata standardization and attribution for CU-Ensemble, establishing groundwork for peak forecasting, and ensuring high-quality November 2024 forecast data for the FluSight-forecast-hub. This work improves model transparency, data integrity, and forecasting reliability across horizons, enabling faster decision-making for end users.
November 2024
18 Commits • 2 Features
Nov 1, 2024Month: 2024-11. Focused on delivering metadata standardization and attribution for CU-Ensemble, establishing groundwork for peak forecasting, and ensuring high-quality November 2024 forecast data for the FluSight-forecast-hub. This work improves model transparency, data integrity, and forecasting reliability across horizons, enabling faster decision-making for end users.
Activity
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Quality Metrics
Correctness91.0%
Maintainability89.6%
Architecture88.4%
Performance88.6%
AI Usage24.2%
Skills & Technologies
Programming Languages
CSVJavaScriptNonePythonRYAML
Technical Skills
Configuration ManagementData AnalysisData CleaningData CorrectionData EngineeringData FormattingData ModelingData UpdateData ValidationData archivingData validationDocumentationEpidemiological ModelingForecastingGitHub Actions
Repositories Contributed To
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