MORGAN
THIURI
PORTFOLIO
Maji Ndogo Water Crisis
Maji Ndogo Water Crisis is an SQL-driven, data-focused project that examines a hypothetical water crisis in a nation once blessed with abundant water. Through comprehensive data cleaning, auditing, and targeted SQL queries, critical failures in the water infrastructure are identified, enabling the extraction of actionable insights to guide the restoration of clean water and efficient supply systems.
Youtube Analysis
YouTube Kenya Trending Content Analysis is a data-centric project in which trending YouTube videos are scraped using a dedicated YouTube scraper. Extensive exploratory data analysis (EDA) is performed to reveal patterns in trending categories and engagement metrics, providing actionable insights into content performance within the Kenyan digital landscape.
AI-Powered Loan Approval
Financial institutions need a reliable way to decide which loan applications to approve while minimising risk. This project uses historical data such as home ownership, past loans and financial history to build a predictive model that helps lenders make smarter decisions. By leveraging data-driven insights, the solution improves accuracy, reduces losses, and streamlines the loan approval process.
Sentiment Analysis
Businesses receive countless customer reviews, but understanding overall sentiment whether positive, negative, or neutral can be challenging. This project analyses customer feedback using AI to identify key trends, emotions, and areas for improvement. By automatically categorising sentiments, companies can gain valuable insights, enhance customer experience, and make data-driven decisions to improve their services.