Crop-Recommendation-Using-Supervised-Machine-Learning

This project explores a cost-aware machine learning approach to crop recommendation. In resource-constrained agricultural settings, farmers may only be able to measure one soil property. The goal is to identify the single most informative soil feature for predicting crop type.

Road Traffic Accident Severity Prediction

Built and evaluated predictive models to classify road traffic accident severity using real-world data. Applied feature engineering, class imbalance handling, and ensemble learning to identify key risk factors influencing accident outcomes.

Unmasking the Hidden Influence of Land Tenure and Urban Growth on Accra’s Flood Crisis

A GIS and data-driven research project completed as part of the NGS+TNC Externship. This project analysed the interplay between urban expansion, land tenure systems, and flood vulnerability in Accra. Using spatial data, satellite imagery, and demographic overlays, it identifies key flood-prone zones

Modelling Workplace Stress and Health Behaviors Using R

This project explored how demographic and occupational factors influence stress levels and health outcomes among working adults. The analysis involved data cleaning, exploratory analysis, statistical modelling, and predictive analytics using R.

Data-Driven Hospital Decision-Making Using the AHA Database

Analysed data from over 2,000 U.S. hospitals in the AHA Database to uncover patterns in healthcare performance, cost efficiency, and service distribution. Explored how hospital size, ownership type, and regional factors influence expenses, admissions, and patient care outcomes.

The Influence of Global Economic Factors on Banking Performance

Analyzed how global economic indicators such as energy production, stock markets, labor trends, and consumer spending influence the performance of the 50 largest banks in the world. Applied statistical and data science methods to uncover macroeconomic relationships affecting financial stability and

Education for All — Fundraising Analytics Case Study

This project analyses donor behaviour and fundraising patterns for Education for All, a nonprofit organisation focused on educational access. The goal was to generate actionable insights that could strengthen the organisation’s fundraising strategy and improve donor retention.

Visualizing the Environmental and Health Impacts of Illegal Mining in Ghana

Developed four interactive Power BI dashboards analysing the environmental, health, and socio-economic effects of illegal mining (galamsey) in Ghana. The project visualises key indicators such as water quality, community health, and pollution trends to support environmental policy and awareness.