Hi, I’m Mayen
I am an applied data and digital systems practitioner focused on building practical, reliable analytics and workflows across operational and healthcare-adjacent contexts.
My work emphasises data structure, exploratory analysis, and responsible use of machine learning, prioritising clarity and usefulness over complexity or hype.
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Applied data analysis and exploratory analytics
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Lightweight digital systems and workflow design
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Healthcare-adjacent analytics and data responsibility
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Documentation-first, learning-focused open-source projects
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MedInsights, applied healthcare-adjacent data analysis and insight exploration
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HealthShield, exploratory project on data security and responsible handling of sensitive information
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MentorDevHub, community learning initiative supporting practical data and digital skills
I contribute to the tech ecosystem through technical writing, mentorship-style open-source guidance, and community involvement, with a focus on making data and machine-learning concepts approachable and context-appropriate.