Melanie Appleby is a data science leader with 10 years of experience building and scaling teams that turn analytics into product strategy and measurable business impact. Currently a Member of Data Science Staff at OpenAI, she has driven growth and product pivots at consumer platforms like Instagram—helping commerce go from zero to millions in GMV and driving a 27x increase in video-based shopping activity. She combines hands-on statistical and ML skills (from early work extracting signals from images and text to production experimentation and KPI design) with a knack for 0-to-1 problems and cross-functional collaboration. At Instagram she defined new program-level KPIs adopted across 80+ teams and tripled ad portfolio revenue without raising operating expenses. Her background in equity research and early-stage product analytics gives her a rare fluency in both financial rigor and product strategy. Based in San Francisco, she enjoys translating messy, multi-source data into scalable tools and prioritization frameworks that align engineering, product, and business goals.
10 years of coding experience
8 years of employment as a software developer
B.S. in Economics Concentration in Operations Information & Decisions, B.S. in Economics Concentration in Operations Information & Decisions at The Wharton School
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