This project utilizes a dataset from the National Institute of Diabetes and Digestive and Kidney Diseases, aiming to predict whether a patient has diabetes based on specific diagnostic measurements.I developed a clustering model and deployed it within a web-based system using a variety of technologies, including Django, JavaScript, HTML, and CSS. This system allows users to input their diagnostic measurements and receive a prediction regarding their diabetes status.
Explore this project to see how advanced analytics and modern web technologies come together to provide valuable health insights
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In Kenya's dynamic real estate market, understanding house prices is essential for buyers, investors, and professionals. This project provides a comprehensive analysis of housing data from the BuyRentKenya website.
It includes data scraping, cleaning, and feature engineering to prepare for an in-depth Exploratory Data Analysis (EDA). The analysis covers price distributions, preferred suburbs, and the impact of various features on house prices.
The project offers clear visualizations and insights into market trends, aiding stakeholders in making informed decisions and understanding market dynamics better.
I received a Zindi award for developing the top-performing model that predicts estimated delivery times in Kenya's logistics industry.
Accurate ETA (Estimated Time of Arrival) predictions are key to customer satisfaction and operational efficiency. My model significantly reduced uncertainty and delivery delays, enabling Sendy to optimize its logistics operations.
This project demonstrates my ability to leverage machine learning to solve real-world problems and deliver measurable results.
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Embark on an exploration of my most recent endeavor, where I meticulously examine the Netflix dataset to unearth correlations among its attributes.
Through thorough analysis of variables such as ratings, genres, release years, and beyond, my goal is to uncover nuanced connections within the dataset.
Delve into the profound insights extracted from this extensive investigation, providing invaluable perspectives on the evolving trends and intricate patterns inherent in Netflix content.
Explore my Tableau projects showcasing diverse analyses and visualizations in business intelligence.
From sales dashboards tracking revenue trends to interactive displays of house sales data revealing market insights, each project offers unique perspectives.
Dive into the British Airways reviews dashboard for sentiment analysis and customer feedback trends, providing insights for enhancing customer experience.
With projects spanning industries and analytics techniques, my portfolio demonstrates comprehensive data-driven approaches for business success.
According to Mordor Intelligence, video games are big business: the global gaming market is projected to be worth over $300 billion by 2027. With so much money at stake, major game publishers are highly incentivized to create the next big hit.
But are games improving, or has the golden age of video games already passed? In this project, I analyze video game critic and user scores, as well as sales data for the top 400 video games released since 1977.
I seek to uncover a potential golden age of video games by identifying release years favored by users and critics, and explore the business side of gaming through sales data analysis.
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My Power BI projects demonstrate expertise in HR attrition analysis through four dashboards.
Turnover Analysis 1 tracks turnover trends, while Turnover Analysis 2 offers comparative analysis across departments and time periods.
Demographics dashboard reveals workforce composition and diversity, and the Employee Wellness dashboard highlights the impact of wellness initiatives on satisfaction and retention.
These dashboards showcase my proficiency in Power BI and ability to transform complex HR data into actionable insights