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Gina Oiki

@ginaoiki

Message

Senior Data Science Associate building ETL, analytics, and risk reporting systems with Python, SQL, and AWS.

United States

Message

What I'm looking for

I’m looking for a role where I can use Python/SQL and AWS to deliver ETL and analytics in support of risk reporting, build efficient tooling in Unqork/Appian, and prototype AI proof-of-concepts in an agile, collaborative environment.

I’m a Data Science Senior Associate who builds production-ready analytics pipelines and risk reporting capabilities. At Fannie Mae, I constructed tables and views for AWS Redshift, ran ETL with Python and S3, and managed AWS profiles to support analytics, data management, and AI proof-of-concepts.

I also lead delivery across the full lifecycle—requirements gathering through System/UAT testing and code repository management—using an agile methodology. I’ve built and automated tools with Python modules, Streamlit samples using Anthropic LLMs, Unqork web apps for report/metric inventory, and Appian enhancements for approvals and audit history.

Experience

Work history, roles, and key accomplishments

Data Science Senior Associate

Fannie Mae

Jan 2024 - Jan 2025 (1 year)

Constructed AWS Redshift tables/views and supported ETL using Python and Amazon S3 for metric development and ad-hoc reporting. Led agile quarterly application releases and built data/AI proof-of-concept tools including Python encryption/decryption and Streamlit samples using Anthropic LLMs.

Data Science Associate/Risk Management

Fannie Mae

Jan 2020 - Jan 2024 (4 years)

Built Unqork applications for report and metric inventory workflows and improved monthly risk reporting approvals using Appian. Developed automated regression testing for the Appian risk reporting website and delivered KPI tracking via Tableau dashboards.