Silvia Aragon is a skilled Product Data Analyst currently employed at Trainline since August 2025, with prior experience in similar roles at Muzz from July 2024 to August 2025. Silvia's background includes significant research experience, having served as a Research Scientist at Imperial College London, where management of two bacterial product projects was a key responsibility. Additional experience as a Research Scientist at London Biofoundry involved strain engineering and project management for industry clients like Prokarium. Silvia's career began in education, teaching science at Turing House School, where notable improvements in student performance were achieved. Silvia's academic qualifications include a Master of Research in Systems and Synthetic Biology from Imperial College London, a BSc in Chemistry with Biomedicine from King's College London, and a PGCE with QTS in Secondary Science. Data science training was also completed at AiCore.
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