Junior Inspection Engineer (Internship)
Portharcourt, River State, Nigeria
Highlights
Applied attention to detail and safety protocols in high-stakes environment
Documented inspection findings and communicated with cross-functional teams
Courses
Chemical/Petrochemical Engineering
Courses
Chemical Engineering Thermodynamics I & II
Heat Transfer
Introduction to Petroleum Engineering
Fossil Fuel Processing and Technology
Research and Technical Report Writing
Python (Proficient), SQL (Intermediate).
Matplotlib, Seaborn, Plotly (Basic), Power BI (Learning).
Pandas, NumPy, Data Cleaning, EDA, Feature Engineering, Statistical Analysis.
Scikit-learn, XGBoost, Regression, Classification, Ensemble Methods.
Jupyter Notebook, Google Colab, Git, GitHub, VS Code, WSL2.
Data Science and Analytics, AI for Social Good, Sustainable And Renewable Energy Systems, Responsible AI.
Summary
Competed in a Data Science Nigeria car price prediction hackathon, applying machine learning to predict used car prices based on features like brand, model, mileage, year of manufacture, and fuel type . Built an ensemble model using XGBoost with optimized hyperparameters, leveraging feature engineering and cross-validation to improve prediction accuracy. Outcome: Ranked 9th place among participants, demonstrating the ability to build competitive regression models for price prediction and deliver results under pressure.
course project
Summary
Tools: Python, Pandas, NumPy, Seaborn, Matplotlib. Outcome: Uncovered 100% of customers aged 73-78 were churning, a critical pattern previously unknown to the business. Presented actionable insights to bank management, enabling the design of a targeted retention strategy for this high-risk segment.
DSN Project Link.
Summary
Tools: Python, Machine Learning, AI Fundamentals
Available upon request.