I am a Computer Science and Engineering enthusiast with a deep focus on cybersecurity and data analysis. I approach technology like an architect: seeking to understand how systems break, how data hides insights, and how to build solutions that are resilient by design. My passion lies in uncovering hidden patterns, fortifying digital environments, and transforming raw information into actionable intelligence.
Driven by curiosity and a relentless work ethic, I am eager to apply my skills in a real-world environment where I can protect, analyze, and innovate alongside a passionate team. Throughout my academic journey, I have developed strong technical skills in programming languages such as Python, Java, JavaScript, and C/C++, as well as frameworks like React, Node.js, TensorFlow, Scikit-learn, and Flask.
I have hands-on experience with databases including MySQL, MongoDB, and Firebase, and I am proficient in data analysis tools such as Pandas, NumPy, data cleaning, visualization, and predictive modeling. My cybersecurity knowledge encompasses network security, cryptography, OWASP Top 10 vulnerabilities, vulnerability assessment, and security protocols.
I have successfully developed several technical projects, including a smart academic success platform that tracks attendance and predicts outcomes with high accuracy, a predictive market analysis tool for African construction markets using machine learning, and an AI assistant with integrated security testing that addresses AI security vulnerabilities.
My soft skills include problem solving, team collaboration, independent learning, communication, adaptability, and attention to detail. I am committed to continuous learning and applying my knowledge to solve complex problems in technology and security.
