Natalya Clair

About Natalya Clair

I work at the intersection of product, QA, and UX research to help teams ship learning tools that teachers can rely on. Over the past nine years in data-science education, I’ve supported projects as a project manager, researcher, and QA engineer, often switching between debugging a flaky UI test, writing a research protocol, and coordinating a release plan on the same day.At The Concord Consortium, I led project management, research, and QA for open-source data-science platforms reaching over one million learners. I coded automated JavaScript tests that prevented thousands of classroom bugs and built Python scripts (with AI assistance) to convert speech to text, accelerating the analysis of thousands of hours of classroom video data. I managed multimillion-dollar NSF projects and partnered with engineers and educators to design AI-assisted features that balanced innovation with usability. I also co-authored award-winning research on usability and learning design. I often review pull requests and debug functionality. I’m comfortable reading code, translating teacher and student pain points into clear requirements, and making sure what we ship behaves the way we intended. My goal is always the same: keep the product stable, keep the team aligned, and keep the work grounded in how people actually learn.My creative work has reached 9.5 million learners through TED-Ed math videos I wrote and produced, and my mathematical illustrations appear in two New York Times bestsellers by Harvey Mudd professor Art Benjamin. Across every project, I aim to make complex ideas in data and math easier to see, feel, and learn, whether in a classroom, a video, or a digital tool.I\'m now QA Lead at CredLens, an edtech startup building data visualization tools that help credential issuers and policymakers understand the ROI of workforce credentials. This is work I find meaningful at the intersection of learning, data, and real-world outcomes. East Bay Area 🤖 AI for Learning Data Science Education

Experience

1. Quality Assurance Lead

   Credlens

   Jan 2026 — Present · San Francisco, CA, US

   Leading quality assurance for a data visualization platform in the workforce credentials space. Focused on building QA as an accelerator; catching issues early, scaling automation, and ensuring data insights users see are accurate and trustworthy.

Education

• Scripps College

  Bachelor of Arts (B.A.), Mathematics and Studio Art

  2002 — 2006

• Harvard Graduate School of Education

  Master of Education (M.Ed.), Technology, Information, Education

  2015

Skills

• Customer Service
• Windows
• Keynote
• Public Speaking
• Mathematics
• Community Outreach
• Outlook
• Microsoft Office
• Qualitative Research
• Curriculum Design
• Microsoft Excel
• Powerpoint
• Html
• Data Mining
• Teaching
• Microsoft Word
• Matlab
• Javascript
• Higher Education
• English
• Python
• Latex
• Curriculum Development
• Spanish
• Educational Technology
• Mathematics Education
• Nonprofits
• Editing
• Research
• R
• Illustrator
• Statistical Data Analysis
• Statistics
• Education
• Indesign
• Visual Arts
• Data Analysis
• Program Development
• Photoshop