
Predicting readmission of diabetic patients
Hospital readmissions for diabetic patients pose a significant challenge to healthcare systems, contributing to increased costs and poorer patient outcomes...
My name is Ruth Kitasi, a certified Data Scientist with a bachelor's degree in
Business Information Technology and over four years of experience applying machine learning and analytics to real-world problems.
Currently, I work as a Data Executive at Africa Health Business,
a healthcare consulting firm, where I design and implement data driven solutions to evaluate internal processes,
improve operational efficiency, and support evidence-based strategies that assist clients
in exploring and entering the healthcare market in Kenya and across Africa.
My expertise lies in combining quantitative and qualitative data to identify trends,
build predictive models, and create interactive dashboards that inform strategic decision-making.
My current work in the healthcare industry, alongside previous experience in real estate and microfinance,
has given me a unique perspective on how data can solve sector-specific challenges.
Proficient in Python, SQL, Power BI,Looker, Nvivo and advanced Excel,
I apply statistical analysis and machine learning techniques to uncover patterns
in complex datasets, delivering data-driven solutions that promote growth, innovation, and measurable impact.
Hospital readmissions for diabetic patients pose a significant challenge to healthcare systems, contributing to increased costs and poorer patient outcomes...
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