Amanda Alvarez

When tasked with helping a major city navigate the data they received during their dockless bikeshare pilot, I dove in to use a novel dataset to turn high-level policy questions into actionable insights that informed whether to continue the program.

I love investigating data mysteries and turning messy, unfamiliar datasets into clear answers.

I've learned that the biggest impact comes from venturing into uncharted territory first, then helping others navigate it successfully.

Whether I'm the first to work with unfamiliar datasets or moderating planning processes to untangle complex projects, I scout ahead to assess the terrain, then multiply my impact by elevating others to follow the path.

I believe in "move fast and make things" — prototype quickly, test with real users, iterate based on feedback. Sometimes the best solution is the one you can build and deploy today.

When threats to federal data infrastructure arose, I rapidly built new tools to monitor and respond to emerging concerns. When babywearing education was inaccessible to many communities, I built the Wearing Wiki to share knowledge.

Coder, analyst, researcher, consultant, mentor, tech lead, product owner. I've worn a lot of hats in a wide range of settings.

My superpower is jumping into new domains and quickly getting up to speed to communicate effectively with subject matter experts. I bridge worlds that don't usually speak the same language.

I'm not afraid to try completely new approaches or abandon what doesn't work. The frontier is where the most interesting problems live.

I push into uncharted territory where established methods don't exist yet. My cutting-edge geophysics research on reservoir saturation prediction broke new ground, and now I'm pioneering federal data infrastructure monitoring in response to unprecedented political threats.

I believe the best technical work means nothing if you can't tell its story effectively.

From my early days explaining cutting-edge geophysics tech to clients across the Americas to turning messy immigration datasets into compelling advocacy narratives, I've learned that data without story is just numbers. The magic happens when you can take something technically sophisticated and make it resonate with people who need to understand it, use it, or act on it.