Summary
Natalya St Clair is a QA Lead and product-minded researcher with nine years focused on data-science education, now ensuring trustworthy analytics at edtech startup CredLens. She blends hands-on test automation (JS/Cypress) and Python tooling with UX research and project management to keep complex learning products stable and classroom-ready. At The Concord Consortium she coordinated multimillion-dollar NSF projects, authored award-winning usability research, and built AI-assisted speech-to-text pipelines that accelerated analysis of thousands of hours of classroom video. Comfortable reading code and reviewing pull requests, she translates teacher and student pain points into clear requirements and pragmatic release plans. Her work in storytelling and visualization — from TED-Ed lessons watched by millions to illustrations in bestselling books — informs how she designs intuitive data experiences. Based in Berkeley, she focuses on AI-for-learning solutions that balance innovation, usability, and real-world educational impact.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Studio Art, Bachelor of Arts (B.A.), Mathematics and Studio Art at Scripps College
Master of Education (M.Ed.), Technology, Information, Education, Master of Education (M.Ed.), Technology, Information, Education at Harvard Graduate School of Education