Felix Agyekum Manu

I am a geomatic engineering student passionate about applying machine learning and AI to solve spatial problems in urban planning, environmental monitoring, and infrastructure development. I combine academic training with hands-on internship experience to turn geospatial data into actionable insights.

My experience includes data science work with British Airways where I scraped and analyzed customer reviews and built predictive models, and prompt engineering research at Rochester Institute of Technology focused on optimizing LLM performance and integration. I have also completed practical surveying and IT support roles that strengthened my technical troubleshooting and field skills.

I am committed to ethical, data-driven solutions and continuous learning, holding certifications in machine learning, geospatial analysis, data visualization, and feature engineering. I enjoy collaborating across teams to integrate AI and spatial data into real-world workflows that improve decision-making.