Chigozie Okonkwo

I’m a certified Data Scientist and Electrical & Electronics Engineering graduate with end-to-end project experience across data wrangling, feature engineering, machine learning, model optimization, and analytical storytelling. I work comfortably with high-dimensional, real-world datasets—including noisy sensor and imbalanced industrial data—to build solutions meant for production use.

In my projects, I translate technical results into engineering decisions: for semiconductor defect detection, I handled severe class imbalance and sensor noise using SMOTEENN, tuned multiple classifiers with GridSearchCV, and optimized decision thresholds to improve Recall for failure detection. In my Africa sustainable energy analysis, I built a reproducible pipeline with careful missingness auditing and imputation transparency, then produced structured visualisations aligned to UN SDG 7—highlighting how renewable metrics can be misleading without biomass decomposition. I also designed an IoT-based road traffic management system using Arduino for real-time sensor communication and traffic signal automation.