Yael Chavarría

I’m a data professional focused on SQL, data quality, analytical data modeling, and pipeline-oriented workflows. I deliver structured datasets, KPI reporting, validation checks, and metric documentation for Operations, Finance, and Product stakeholders.

In my current Data Specialist work, I improve reporting reliability by aligning business logic with stakeholder requirements and validating outputs before delivery. I keep recurring data deliverables trustworthy through consistent datasets, repeatable checks, and clear metric definitions.

I bring a governance mindset to analytics engineering—documenting reporting logic, validation assumptions, and process standards so teams can use metrics with confidence. I also turn ambiguous requests into structured data requirements by clarifying metrics, identifying source-data needs, and producing SQL-backed outputs.

I’ve strengthened my approach through applied work on Bronze/Silver/Gold-style ingestion, reusable feature marts, lagged variables, rolling metrics, and model-ready datasets—plus MLOps-aware documentation. Outside of that, I’ve built project workflows like NLP sentiment analysis (10K+ reviews, 92% accuracy), a scikit-learn risk model (88% predictive accuracy), and Power BI reporting over 500K+ records.