Jonathan Badanguio

I am an operations-focused Data Analyst with experience analyzing quality, performance, and workflow data to support cross-functional teams and improve organizational efficiency.

BUSINESS PROGRAM ANALYST

Microsoft / Remote / Aug 2023 – Apr 2025

Drove data quality for Microsoft for Healthcare’s Dragon Copilot, bridging clinical users with technical teams. Translated insights to guide AI model enhancements and strategic product scaling.

• Audited AI-drafted clinical notes across 20+ specialties using PDQI-9 standards. This work surfaced recurring quality gaps that accelerated a GPT model upgrade by 30 days and helped engineering teams prioritize high-impact fixes for model accuracy.
• Implemented a triage workflow in Azure DevOps to analyze clinician feedback for product ops, engineering, research, and operations. By establishing a consistent sentiment-analysis and routing process, reduced resolution time by 23% and enabled cross-functional teams to respond to issues faster.
• Led a feedback analysis program by categorizing 4,000 clinician records in Excel. These findings directly informed product and engineering teams’ resource allocation and guided model fine-tuning decisions to improve AI accuracy at scale.

QUALITY ADVISOR & ANALYST

Nuance Communications / Remote / Mar 2019 – Aug 2023

Promoted from Quality Assurance Specialist to a strategic Quality Advisor role. Focused on analyzing performance trends and reporting on key metrics to enhance operational efficiency and uphold quality standards.

• Analyzed performance trends across documentation from 7,000+ medical scribes using Excel and insights from Power BI dashboards. This enabled the team to identify recurring quality issues and develop targeted interventions that reduced documentation errors by 19%.
• Developed weekly Excel reports by combining trends from Power BI dashboards with internal tool data to visualize 6-week KPI patterns. These automated reports saved managers 10+ hours per week and helped the team reach a 98% accuracy target within 5 months.
• Revamped the new-hire training program by gathering stakeholder feedback and building a centralized SOP and module workflow. This reduced onboarding time by 70% and improved process consistency across the quality organization.

Bachelor of Science in Data Analytics | Southern New Hampshire University