Ana Farmus
Looking for Summer 2026 Internships

Data Science student and analytics support building reliable data pipelines and operational insights.

I design and maintain automated data collection systems, clean and validate complex datasets, and build monitoring tools that reduce risk and manual effort.

Professional Experience

Maintaining and optimizing large-scale automated data pipelines, building alerts and validation systems, and supporting reliable analytics workflows at the Purdue Department of External Analytics.

Projects

Designing and building end-to-end data and software projects, including automated web scraping pipelines, backend systems, and full-stack applications.

Academics

Studying Data Science while pursuing Industrial Engineering coursework to expand into roles requiring systems, optimization, and operational insight.

Focus Areas

Automation, data pipelines, data quality, analytics, and applied systems engineering.