Who are we?

Wimmy is a specialised consultancy that helps organisations monitor, improve and safeguard the health and wellbeing of their workforces, general public and patients.
Our Mission

Empower healthcare organisations to make impactful, data-driven decisions.

By developing customised, compliant, and user-friendly data models, Wimmy enables clients to learn from complex health data effectively. Our solutions are designed specifically for the healthcare sector, turning raw data into actionable insights to improve patient outcomes and operational efficiency.
Our Values

Driven by strong values

Wimmy’s core values—innovation, quality, impact, belonging, and diversity—define our approach to healthcare data science. These values drive our commitment to high-quality, impactful solutions in healthcare.

Diversity by Design

Our team represents a diversity of skills, academic backgrounds and professional experience. This gives us a broader technical scope, a richer vocabulary to engage with our clients, and a more nuanced perspective on problems and solutions.
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Medical Professionals

We have a diverse group of medical professionals that include medical doctors, occupational medicine specialists and epidemiologists.
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Data Scientists

We have diverse team of data scientists who come from backgrounds such as computer science, biochemistry and statistics.
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Data Analysts

Our data analysts understand the pathofysiology, health-seeking behaviours and the healthcare ecosystem that produced the data.
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UX/UI Designers

Our designers are knowledgeable in the field of data analysis and statistics which equips them with the skills to improve the user experience of the dashboards and data apps.
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DataOps Engineers

We have the skills to build custom dashboards and solutions that fit your and your customers needs.
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Cloud Infrastructure Architects

We design scalable, secure cloud solutions that optimize performance, reduce costs, and ensure seamless business operations. Achieve cloud efficiency!
“…there’s always a sense of what can we do to improve on the current methods or current analysis…it’s always pushing to see if we can find a way to do it better or more, make it more intuitive, or improve.”
~ Wimmian, 2024

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