Triumph is a meticulous Data Enthusiast and Data Scientist with a passion for decoding the language of data, with expertise in Python, SQL, Pandas, and scikit-learn, he has tackled complex data challenges from churn prediction to natural language processing.

With a background in Computer Science from Covenant University (Nigeria) and immersive training with notable institutions in Nigeria, Triumph developed a credit card fraud detection system using K-means and Random Forest algorithms. This project involved categorizing and clustering the dataset to gain insights and make predictions. His goal is to transform data into actionable insights and shape the future of energy consultation and solutions. Passionate about continuous learning, Triumph aspires to become an AI Engineer in the future.