About
AI/ML Engineer & Data Scientist with a robust engineering background, specializing in transforming complex data into actionable insights and strategic decisions for businesses and educational institutions. Expertly designs and deploys end-to-end machine learning pipelines using Python, Azure ML, Deep Learning, and scikit-learn, with demonstrated proficiency in classification, regression, clustering, and advanced data visualization. Leverages a systems-thinking approach to develop scalable, real-world AI solutions that drive tangible outcomes and operational efficiency.
Work
Webfala Digital Skills for All Initiative
|AI Trainer
Ilorin, Nigeria, Nigeria
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Summary
Currently delivering structured AI/ML training and designing curricula for women across Nigeria, fostering community engagement and project development in AI.
Highlights
Delivers structured AI/ML training to women across Nigeria, enhancing proficiency in supervised learning, Python for data science, Azure Machine Learning, and advanced data visualization techniques.
Designed and implemented hands-on curricula, bridging AI theory with practical model-building skills and end-to-end ML pipeline development for regression and classification tasks.
Mentors fellows in AI-driven project development, cultivating a supportive community of practice that facilitates career entry and advancement for women in tech and data science.
Webfala Digital Skills for All Initiative
|AI/ML Fellow
Ilorin, Nigeria, Nigeria
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Summary
Completed a fellowship in applied AI/ML, developing proficiency in model development and data visualization while contributing to community projects.
Highlights
Completed a rigorous AI/ML fellowship, mastering model development, Azure Machine Learning, AI Mathematics, and data visualization with Matplotlib, Seaborn, and Plotly.
Designed and trained supervised learning models, including logistic and linear regression, for real-world classification and prediction tasks, enhancing end-to-end ML pipeline proficiency.
Contributed to AI-driven community projects focused on education and governance, expanding a vital network of women in technology across Nigeria.
Cognifyz Technologies
|Machine Learning Intern
Remote, India, India
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Summary
Built and evaluated machine learning models and managed project datasets, enhancing model accuracy and interpretability through data preprocessing and EDA.
Highlights
Developed and evaluated machine learning models using Python and scikit-learn, applying regression and classification techniques to structured datasets for predictive analytics.
Executed comprehensive data preprocessing, feature engineering, and exploratory data analysis (EDA), significantly enhancing model accuracy and interpretability.
Managed project datasets and established robust database management and reporting workflows, ensuring efficient tracking of model performance metrics.
Imperial Auto Clinic
|Engineering Intern
Ilorin, Nigeria, Nigeria
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Summary
Applied diagnostic and systems-thinking skills in an automotive engineering environment, developing hands-on experience in data-driven fault diagnosis.
Highlights
Applied diagnostic and systems-thinking methodologies within an automotive engineering environment, establishing a foundational approach to structured problem-solving now leveraged in AI/ML projects.
Gained practical experience in data-driven fault diagnosis and precision troubleshooting across diverse mechanical systems, enhancing analytical and problem-solving capabilities.
Education
Federal University of Technology, Minna (FUTMINNA)
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Bachelor of Technology (BTech)
Automobile/Automotive Mechanics Technology
Courses
Engineering Foundation
Systems-Thinking Approach
AI Model Design
Real-World Constraint Analysis
Structured Problem-Solving
Certificates
Career Essentials in Generative AI
Issued By
Microsoft & LinkedIn
Machine Learning Internship
Issued By
Cognifyz Technologies
Python for Data Science, AI & Development
Issued By
IBM / Coursera
Perform Cloud Data Science with Azure Machine Learning
Introduction to Career Skills in Software Development
Skills
Machine Learning & AI
Supervised Learning (Classification & Regression), Logistic & Linear Regression, Decision Trees, Deep Learning, Model Evaluation & Tuning, Feature Engineering & EDA.
Data & Visualization
Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Plotly, Exploratory Data Analysis (EDA), Database Management (DBMS).
Platforms & Soft Skills
Azure Machine Learning, Jupyter, Git, AI Mathematics, SQL, Curriculum Design, Mentoring, EdTech, Technical Communication.