A highly motivated and detail-oriented Biomedical Engineering undergraduate with a strong foundation in mathematics, statistics, and scientific problem-solving, aspiring to grow into a data science-focused career within an AI-driven environment. With a particular interest in the use of AI and machine learning to deliver advanced diagnostics and intelligent digital solutions, this candidate is keen to apply quantitative thinking and analytical skills to real-world datasets and business challenges. Experience in research (including an EPQ on quantum consciousness), STEM tutoring, and administrative roles has developed clear and concise communication, structured thinking, and the ability to explain complex ideas to non-technical audiences, making them well suited to a part-time, remote data science role that bridges technical insight and client-focused impact.
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