A little about me

I’m a data analyst focused on data quality, analytics, and AI-assisted workflow evaluation. My work centers on analyzing complex datasets, identifying trends and risks, and ensuring outputs meet high accuracy and reliability standards. I bring a structured, detail-oriented approach to evaluating both human and LLM-generated outputs, translating insights into actionable improvements. I thrive in cross-functional environments where data integrity and thoughtful analysis drive better decisions.

Background & Experience

I have completed specialized work in quality oversight, data analytics, and process optimization within large-scale operational workflows. My work includes analyzing output data—such as LLM-supported processes—to identify reasoning patterns, uncover performance gaps, and mitigate potential risks, while tracking the impact of targeted improvements and logical adjustments. I have also designed, built, and maintained dynamic dashboards that translated complex datasets into clear, actionable insights, enabling real-time monitoring and data-driven decision-making. I’ve also dealt with complex healthcare datasets, ensuring accuracy and consistency across systems to support reporting and compliance requirements. Across all functions, I have experience partnering with operations teams, vendors, and leadership to translate data insights into practical, scalable solutions that drive efficiency and informed decision-making.

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Skills & Specialties

Analytics & Evaluation

• Trend & pattern analysis
• LLM output evaluation
• Risk identification

Tools & Technical

• SQL, Excel, Google Sheets
• Python (basic), R (basic)
• Tableau, Jupyter

Quality & Collaboration

• Data quality assurance
• Workflow optimization
• Cross-functional collaboration