Summary
Melinda Leung is a Senior Analytics Engineer with nine years of experience turning complex data into strategic insights for subscription and semiconductor businesses. Currently at Netflix after leading subscriber analytics and team initiatives at Disney Streaming, she specializes in data automation, ETL pipeline engineering, and impactful analytics visualizations that inform product and growth decisions. Her background blends rigorous data science training from UC Berkeley with hands-on analytics roles across media, hardware, and consumer platforms, enabling her to bridge technical teams and business stakeholders effectively. She has driven subscriber-level experimentation and reporting at scale, and previously optimized process innovation analytics in semiconductor manufacturing. Collected experiences from marketing analytics to leadership roles give her a rare fluency in both modeling nuance and operationalizing reliable data workflows. Outside core analytics, her early art teaching and exhibition experience hint at a creative approach to storytelling with data.
9 years of coding experience
8 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of California, Berkeley
Lowell High School
University of California, Los Angeles
English, chinese (mandarin and cantonese), Spanish