Natalya S.

Skills

Project Management, QA Automation, Program Management, Technical Project Management, Agile Project Management, Github, Jira, Data Analysis

About

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 looking for a Product Manager or Program/Project Manager role at a midsize edtech or AI-for-learning company where I can combine technical QA, UX research, and steady project execution to support teams building thoughtful, reliable, educator-centered AI tools.

🌁 East Bay Area 🤖 AI for Learning 📊 Data Science Education