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Bailey True

@baileytrue

Message

I build reproducible data pipelines and analytical products for large-scale education datasets.

United States

Message

What I'm looking for

I'm looking to build reliable analytical products and reproducible data workflows, partnering across research, product, engineering, and operations to turn complex data into actionable decisions.

At Pearson, I use Python, SQL, and SAS to collect, clean, model, and validate large-scale K–12 datasets supporting research, compliance reporting, and product analytics.

I build reproducible analytical pipelines, dashboards, historical tracking tools, and reporting products that help internal teams and external education partners make informed decisions. I also deliver ad-hoc analyses that clearly communicate key insights, constraints, and cautions to leadership and cross-functional stakeholders.

After advancing to project lead within two years, I oversaw analytical workflows for a statewide education program and applied regression, sampling, and hypothesis testing to research and operational decisions.

I care deeply about data integrity, rigorous QA/QC, documentation, and repeatable workflows. I enjoy partnering with psychometricians, product teams, engineers, researchers, and non-technical stakeholders to turn complex questions into reliable analytical logic.

Experience

Work history, roles, and key accomplishments

Current

Statistical Analyst

Current

Pearson

Oct 2023 - Present (2 years 10 months)

Use Python, SQL, and SAS to collect, clean, model, and validate large-scale K-12 datasets supporting research, compliance reporting, and product analytics. Build reproducible analytical pipelines and design dashboards and reporting products for internal and external stakeholders.