Afoke Chizea

I am a dedicated and detail-oriented professional with a strong foundation in data analysis, machine learning, and visualization. With a Master's degree in Artificial Intelligence and experience working on diverse projects,

I am an experienced data professional with expertise in data analysis, modeling, and visualization. My work has included updating vehicle data models, creating and managing complex data features, and ensuring accuracy across datasets. I have applied machine learning techniques like LightGBM, Random Forest, and SMOTE for fraud detection in highly imbalanced datasets, demonstrating my ability to solve real-world data challenges.

Additionally, I have built interactive dashboards and performed in-depth analyses to support data-driven decision-making, showcasing my strong analytical and technical skills.

I hold a Master's degree in Artificial Intelligence, during which I focused on applying machine learning techniques to real-world problems. My dissertation involved using Explainable AI (XAI) for plant disease detection, where I built and evaluated models like VGG16, a basic CNN, and Vision Transformers, applying techniques such as Grad-CAM and the blackout method to assess model interpretability. This academic background has equipped me with advanced knowledge in machine learning, data analysis, and visualization, making me well-prepared for analytical and data-driven roles.