EXCEEDS logo
Exceeds
Yiqi Su

PROFILE

Yiqi Su

Over a 14-month period, contributed to the cdcepi/FluSight-forecast-hub by building and maintaining robust influenza forecast data pipelines for the VTSanghani-PRIME model. Delivered end-to-end CSV-based data ingestion, metadata management, and regular forecast updates, ensuring timely and accurate predictions across multiple horizons and locations. Leveraged Python and CSV manipulation to automate data integration, validation, and traceability, with each update tracked through version-controlled commits. Enhanced data quality by implementing schema checks and correcting inconsistencies, supporting reproducible and auditable workflows. This work improved the hub’s forecasting coverage, data provenance, and decision support capabilities for public health planning and epidemiological surveillance.

Overall Statistics

Feature vs Bugs

96%Features

Repository Contributions

69Total
Bugs
1
Commits
69
Features
23
Lines of code
473,930
Activity Months14

Work History

May 2026

4 Commits • 1 Features

May 1, 2026

May 2026 monthly summary for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Focused on delivering up-to-date VTSanghani model forecasts for May 2026 and ensuring data integrity for end users.

April 2026

4 Commits • 1 Features

Apr 1, 2026

In April 2026, delivered critical VTSanghani forecast data updates for the FluSight-forecast-hub, updating forecast data for multiple April dates to improve accuracy and timeliness. The updates enhance decision support for epidemiological planning by ensuring forecasts reflect the latest predictions and adjustments, and establish a reproducible monthly update cadence across the repository.

March 2026

6 Commits • 1 Features

Mar 1, 2026

March 2026 summary for cdcepi/FluSight-forecast-hub: Delivered the VTSanghani forecast data update for March 2026, adding new forecast data for 2026-03-07 and refreshing predictions for March 2026 to improve forecast accuracy and timeliness. This release includes iterative weekly updates through 03-14, 03-21, and 03-28, enhancing data freshness for end users. The work is supported by six commits that document data curation, validation, and provenance improvements. No major bugs were reported in this period; data quality checks and traceability were strengthened as part of the forecast update workflow.

February 2026

3 Commits • 1 Features

Feb 1, 2026

In February 2026, delivered essential VTSanghani forecast data updates to the FluSight-forecast-hub, improving data currency and forecast usability for stakeholders. The February cycle added forecasts for 2026-02-14, 2026-02-21, and 2026-02-28 via three commits, providing timely inputs for the forecast horizon. This work is anchored in repository cdcepi/FluSight-forecast-hub and supports more reliable decision-making for public health planning. No major bugs were reported this month; the focus was feature delivery, data integrity, and maintainability. Technologies/skills demonstrated include Git-based versioning, data integration for forecasting inputs, and ensuring traceability of model data through explicit commit records.

January 2026

4 Commits • 1 Features

Jan 1, 2026

January 2026: Expanded forecast data coverage for the VTSanghani-PRIME model in FluSight-forecast-hub. Delivered four new forecast entries for January 2026 with full commit-level traceability, aligning with data schema and enabling earlier decision-making. This work strengthens data availability for stakeholders and sets a reproducible pattern for monthly updates.

December 2025

4 Commits • 1 Features

Dec 1, 2025

Month: December 2025. Focused on delivering timely forecast data updates for the FluSight-forecast-hub. Key delivery: December 2025 forecasts for the VTSanghani-PRIME model across four dates (2025-12-06, 2025-12-13, 2025-12-20, 2025-12-27). This enhances forecast coverage and timeliness, supporting improved decision-making for influenza planning. No major bugs fixed documented this month; maintenance centered on data integrity validation and ensuring compatibility of new forecast data with the hub ingestion pipeline. Impact: strengthened forecast reliability and data availability for December 2025, with clear auditability through per-commit traceability. Technologies/skills demonstrated: Python-based data pipelines, Git version control, data validation, and cross-team collaboration with the model providers.

November 2025

4 Commits • 2 Features

Nov 1, 2025

Month 2025-11: Delivered targeted data and metadata updates to the VTSanghani-PRIME component of FluSight-forecast-hub, enhancing forecast clarity, data lineage, and near-term predictive coverage. Key activities included a metadata overhaul and model version/data input refinements, plus the addition of new forecast data points for 2025-11-22 and 2025-11-29. No critical bugs were identified or require hotfixes this month. The work improves decision support for public health planning by providing more transparent contributions, consistent data inputs, and extended forecast coverage.

May 2025

5 Commits • 1 Features

May 1, 2025

May 2025: Delivered the VTSanghani-PRIME May 2025 influenza forecast data release for FluSight-forecast-hub. This release adds new CSV forecast files for 2025-05-03, 2025-05-10, 2025-05-17, and 2025-05-31, along with an overall forecast data update to improve predictive capabilities. The work strengthens forecast coverage and timeliness for influenza surveillance, enabling better decision support for stakeholders. Demonstrated strong release engineering and data handling skills, with full traceability via the commit history.

April 2025

9 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for FluSight-forecast-hub (cdcepi): Focused on delivering VTSanghani-PRIME forecasting enhancements and comprehensive forecast-data updates to support PRIME workflow and data fidelity.

March 2025

5 Commits • 4 Features

Mar 1, 2025

During March 2025, the team delivered a series of CSV-based forecast data updates for VTSanghani-PRIME across multiple dates (March 8, 15, 22, and 29), with horizons and quantiles, plus a weekly hospitalization forecast CSV for March 29. All changes were captured with explicit commits and integrated into the FluSight-forecast-hub repository (cdcepi/FluSight-forecast-hub). No major bug fixes were recorded this month; the focus was on expanding data coverage, timeliness, and reliability to support downstream analytics and decision-making.

February 2025

4 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for the FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Focused on delivering end-to-end influenza forecast data ingestion for VTSanghani-PRIME across multiple dates, enhancing forecasting coverage and timeliness; enables multi-horizon trend analysis and improves data traceability.

January 2025

7 Commits • 3 Features

Jan 1, 2025

January 2025 monthly summary for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). Delivered end-to-end ingestion and quality improvements for VTSanghani-PRIME forecasts, enabling timely disease spread projections and robust model updates. Key deliveries include CSV-based ingestion of January 4, 11, and 18 forecasts; January 25 data inclusion and adjustments; February 1 data addition across horizons and locations. A data quality fix corrected negative February forecasts to zero, preserving consistency across the model. All work is tracked via committed changes for reproducibility. Business impact: improved forecasting coverage and data quality, reducing downstream rework and enabling faster decision-making. Technologies demonstrated: CSV ETL, horizon/location data handling, data quality checks, version-control traceability via commits.

December 2024

4 Commits • 1 Features

Dec 1, 2024

December 2024: Delivered influenza forecast data integration for VTSanghani-PRIME in the FluSight-forecast-hub. The feature adds weekly hospitalization forecast data across multiple dates, including forecasts and rate-change projections by location and horizon, enabling proactive monitoring, planning, and data-driven decision-making for health operations. Implemented a traceable release with four weekly commits, ensuring reproducibility and alignment with ongoing forecasting workflows. This work enhances forecast ingestion capabilities, improves data quality and timeliness, and strengthens the hub's ability to support public health decisions.

November 2024

6 Commits • 3 Features

Nov 1, 2024

Performance-monthly summary for 2024-11: Delivered model metadata for VTSanghani-PRIME and forecast data updates (2024-11-23 and 2024-11-30) for FluSight-forecast-hub (cdcepi/FluSight-forecast-hub). No major bug fixes reported this month. Improvements enhance model cataloging, data provenance, and forecast data availability across locations and horizons, enabling better decision support for influenza surveillance.

Activity

Loading activity data...

Quality Metrics

Correctness98.8%
Maintainability98.2%
Architecture98.2%
Performance98.2%
AI Usage21.8%

Skills & Technologies

Programming Languages

CSVJavaScriptPythonYAML

Technical Skills

CSV HandlingCSV ManipulationData AnalysisData EngineeringData ManagementData UpdateData VisualizationForecastingMetadata ManagementPythonTime Series AnalysisTime Series Forecastingdata analysisdata modelingforecasting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

cdcepi/FluSight-forecast-hub

Nov 2024 May 2026
14 Months active

Languages Used

CSVPythonYAMLJavaScript

Technical Skills

Data AnalysisData EngineeringData UpdateForecastingMetadata ManagementPython