@iri.creates

Based in London, Irini applies data science and UX research expertise across machine learning, data visualization, and user-centered design projects at EY and Jellyfish. She holds a computer science degree from University College London (UCL), with specialized coursework in artificial intelligence and software development. Her academic foundation combines with professional experience implementing Python, R, SQL, and visualization tools including Tableau and Power BI. Her technical portfolio features an interactive CO2 emissions dashboard and comprehensive user research studies on wearable technology adoption. She maintains proficiency in Java and C++ programming while leveraging modern frameworks including TensorFlow, Keras, React, and Node.js for full-stack development. Her work in Figma supports the creation of data-driven interface prototypes. At the intersection of quantitative and qualitative methodologies, Irini conducts statistical analysis alongside contextual user research to inform product decisions. She applies machine learning algorithms to derive insights from complex datasets while ensuring solutions align with documented user needs. Her integrated approach spans the technical implementation cycle from requirements gathering through deployment and iteration.