
Worked on end-to-end epidemiological forecasting platforms, delivering flu forecast data submission datasets for the cdcepi/FluSight-forecast-hub and leading a major platform overhaul for CDCgov/covid19-forecast-hub. Focused on robust data ingestion, submission workflows, and reproducibility, integrating Python and CSV-based pipelines to support multi-location, multi-horizon forecasting. Enhanced data validation to ensure schema compatibility and addressed data integrity issues to meet reporting standards. Documented data schemas and submission processes to streamline onboarding and collaboration. Applied skills in data analysis, time series forecasting, and full stack development, enabling forecasting teams to submit, evaluate, and maintain high-quality epidemiological model outputs efficiently.
December 2025 monthly summary for CDCgov/covid19-forecast-hub focusing on business value and technical achievements. Delivered a Major Platform Overhaul enabling enhanced submission workflows, modular architecture, and broader forecasting capabilities across the project. Implemented targeted data integrity fixes to ensure accurate submission representation and compliance with reporting standards. These changes improved platform reliability, data quality, and time-to-submission, enabling forecasting teams to deliver reliable results with fewer post-submission corrections.
December 2025 monthly summary for CDCgov/covid19-forecast-hub focusing on business value and technical achievements. Delivered a Major Platform Overhaul enabling enhanced submission workflows, modular architecture, and broader forecasting capabilities across the project. Implemented targeted data integrity fixes to ensure accurate submission representation and compliance with reporting standards. These changes improved platform reliability, data quality, and time-to-submission, enabling forecasting teams to deliver reliable results with fewer post-submission corrections.
May 2025 performance focused on delivering end-to-end flu forecast data submission datasets for FluSight-forecast-hub, enabling timely forecast submission and evaluation across locations and horizons. Strengthened data ingestion, submission workflows, and reproducibility with May-2025 datasets and UM-DeepOutBreak submissions integrated into the pipeline. Documented data schema to support onboarding and future releases.
May 2025 performance focused on delivering end-to-end flu forecast data submission datasets for FluSight-forecast-hub, enabling timely forecast submission and evaluation across locations and horizons. Strengthened data ingestion, submission workflows, and reproducibility with May-2025 datasets and UM-DeepOutBreak submissions integrated into the pipeline. Documented data schema to support onboarding and future releases.

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