Giulia Cazzagon is a data analyst with a decade of STEM research experience and a PhD in Cell Biology from UCL, now applying rigorous experimental discipline to data-driven problem solving. She has transitioned academic expertise in microscopy, statistical analysis and complex project management into practical data science work—building pipelines, interactive apps and error-detection systems for clients including the Equality and Human Rights Commission. Trained recently in advanced ML topics (LLMs, neural nets, time series and SQL) through a selective Faculty fellowship, she combines strong data visualization and communication skills with hands-on Python tooling. Based in London, she is particularly interested in applying AI to societal and environmental challenges and brings the uncommon combination of wet-lab rigor and production-focused analytics to multidisciplinary teams.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Molecular Biology, Master of Science - MS, Molecular Biology at Università degli Studi di Padova
Contributions:1 PR, 3 pushes, 2 branches in 2 years 3 months
golangflybasecuration
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