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...
CAREER PROFILE
My name is Ruth Kitasi, a certified Data Scientist with a solid background in Business Information
Technology and over four years of experience transforming data into meaningful solutions. Currently,
I work as a data executive at Africa Health Business,
a healthcare consulting firm, where I leverage data science to support evidence-based strategies,
conduct market research, and assist clients explore and enter the healthcare market in Kenya and across Africa.
My expertise lies in combining quantitative and qualitative data to identify trends, develop predictive models,
and create interactive dashboards that inform decision-making. Working in the healthcare, real estate, and microfinance
industries has given me a unique lens on how data can solve sector-specific challenges.
Proficient in Python, SQL, Power BI, NVivo, and advanced Excel,
I apply statistical analysis and machine learning techniques to extract meaningful
patterns from complex datasets. From analyzing consumer behavior to forecasting trends
and supporting strategic market entry, I deliver data-driven solutions that drive growth, innovation, and measurable impact.
Passionate about fostering collaboration
and knowledge exchange, I actively share my projects and ideas on platforms like LinkedIn,
GitHub, and Medium, engaging with a global community to advance the field of data science
Recent Work
Anemia level prediction in children
The African continent bears a disproportionate burden of anemia among children, with an estimated 60-80% prevalence in children under five...
Recommender System
In today’s data-driven world, recommendation systems are crucial for filtering information and enhancing user experiences...
Predicting H1N1 Vaccine Response
Despite the availability of an H1N1 vaccine, not everyone chooses to get vaccinated...
The role of data in Africa healthcare systems
As Africa experiences advancements in technology and a growing need for more efficient and effective healthcare systems, data plays a crucial role in ...
Web Traffic Analysis
Web traffic analysis using python and Power BI. The analysis shows how visitors from different parts of the world interact with the website.
Obesity trends in Africa
I came across a post on LinkedIn “world obesity day” advocating for a healthy lifestyle. In the past, I held the misconception that obesity was primarily a concern in Western societies...
Seasonal flu vaccine uptake
I developed a binary classification model to predict whether an individual is likely to take a seasonl flu vaccine or not. The model analyzes key features such as peoples opinion, medical history and age among other factors.
The use of data to propel business operations.
Data analysis is the process of cleaning, transforming, and modeling data to discover trends, that support decision-making processes. In today’s digital era data has become the fuel that propels business operations. Companies can target the right audience, and create a more relevant and engaging ...
Cervical cancer Awarenss in Africa
As January marks cervical cancer awareness month, it prompts a reflection of this common yet often misunderstood form of cancer. but what significance does this hold for Africa?
Neonatal Mortality Rate in Africa
Join me as I embark on a journey of data exploration into the neonatal health in Africa, using advanced excel to share a narative beyond the numbers that shape birth and survival
Microsoft Movie studio
Using python to analyse and shape the company's entry into the cinematic market.
House price prediction
collaborative project, predicting house prices in king country using linear regression