About
I have a background in genetics and life sciences, plus extensive project work in data analysis and machine learning. I've worked at an early-stage B2B SaaS start-up and a small C2C e-commerce company, which taught me to think empirically and to look for the breakthrough, not just the increment.
I mine structured and unstructured data to tell the story, and use statistics, mathematics and visualization to support economic decisions and predict choice behavior.
I empathize with customers and act as a thought-partner to stakeholders, exploring ambiguous, complex problems and recommending ways to influence strategy. I care about user journeys, success metrics and product innovation, and I enjoy explaining how a product solves real customer problems to audiences at every level.
I love experimentation, data modeling, visual analytics, forecasting, and optimizing processes and growth opportunities.