Open to opportunities

naomi harkins

@naomiharkins

Message

I turn complex datasets into validated dashboards, clear recommendations, and reproducible analytical workflows.

United States

Message

What I'm looking for

I'm looking for a data analytics role, ideally in a consulting environment, where I can build dashboards, validate data, communicate actionable findings, and keep growing with new tools and real-world projects.

I've cleaned, reconciled, and validated multi-source datasets for The Global Career Accelerator, building interactive Tableau dashboards, KPI views, and stakeholder-ready recommendations. In a consulting-style data center analysis, I validated 548,951 records and recommended the Northwest using renewable-share, annual net-balance, and surplus-hour metrics.

My astronomy research at Indiana University strengthened my rigor with SDSS spectra, SQL, Python, UNIX, IRAF, anomaly investigation, and reproducible documentation. I bring careful data quality practices, clear communication, and a curiosity for translating complex findings into practical decisions.

Experience

Work history, roles, and key accomplishments

Data Analyst

The Global Career Accelerator

May 2026 - Jul 2026 (2 months)

Collected, cleaned, and validated multi-source datasets in Excel and Tableau, and developed interactive dashboards and KPI views to support data-driven decision-making.

Excel Tableau Data Cleaning Data Validation Dashboard Development KPI development Data Visualization Data Analysis Reporting Collaboration

Education

Degrees, certifications, and relevant coursework

The Global Career Accelerator

Certification, Data Analytics

2026 - 2026

Completed certifications in Data Analysis, Intercultural Skills, Data Visualization, and AI Professional Skills.

Indiana University Bloomington

Bachelor of Science, Astronomy/Astrophysics

2022 - 2026

Activities and societies: Undergraduate Research Assistant in the Department of Astronomy

Pursuing a Bachelor of Science in Astronomy/Astrophysics with a minor in Mathematics, with coursework and research experience in data analysis and scientific computing.