Peter Ugonna Obi

Designed and implemented an end-to-end ML pipeline for heart disease risk prediction using 42,000+ patient records, evaluating multiple models (XGBoost, Random Forest, SVM, Neural Networks, Logistic Regression) Applied explainable AI (SHAP) to deliver interpretable, patient-level explanations and assess clinical safety metrics (F1-score, sensitivity, specificity) Technologies: Python, PyTorch, scikit-learn, XGBoost, SHAP, Gradio, Docker, Pandas, NumPy, Git

- Extracted, validated, and analyzed structured datasets to support predictive modeling and data-driven decision-making - Developed and evaluated machine learning models for applied business and operational use cases - Collaborated with cross-functional teams to communicate analytical insights to non-technical stakeholders Technologies: Python, Machine Learning, TensorFlow, Data Analysis, Git, AWS (basic)

- Provided first-level on-site and remote technical support for hardware, software, and business applications - Installed, configured, and maintained IT systems, ensuring reliability and operational continuity - Delivered user support documentation and basic technical training to improve efficiency Skills: Troubleshooting, Operating Systems, Technical Documentation, Remote Support, SQL (basic)

- Deployed, configured, and commissioned Radio Access Network (RAN) equipment in line with technical standards - Diagnosed and resolved network and hardware issues to ensure stable wireless connectivity Skills: Wireless Networks, RAN Equipment, Network Integration

Assisted in preparing course materials and assessments for undergraduate engineering courses Graded and evaluated 500+ student assignments and examinations

Focus: Machine Learning, Scientific Computing

Focus: Applied and Engineering Mathematics, and Computer Programming