Joseph Aina

• Research Projects:

i. Machine learning prediction of seismic performance of CFRP/GFRP-RC columns containing lap-sliced rebars in plastic hinge regions.

ii. Real-time pavement damage prediction using YOLOv8.

iii. A Hybrid Learning-Architecture for Mental Disorder Detection using Emotion Recognition

• Performed data extraction and preprocessing using Python libraries such as Pandas, Numpy, and Sklearn.
• Generated insightful visualizations (correlation matrix, scatter plots, pie-charts, bar graphs, etc.) and trained various predictive models (ANN, CNN, ViT, KNN, Decision Tree, YOLO) using machine learning and deep learning techniques.
• Presented research findings through conference presentations and written reports, contributing to research paper publication in academic journals and conference proceedings.

• Created a customer verification API to manage authentication and handle large image and text data, storing them in a database using PHP and SQL.
• Conducted functional tests on APIs using Postman.
• Developed a robust web-based social register dashboard using SQL, PHP, HTML, CSS, and JavaScript.
• Queried, analyzed, and presented data in meaningful and readable dashboards according to business requirements using SQL, Tableau, and Python.
• Improved performance of existing CRM solutions, helping organizations remain agile in the face of changing demands.
• Developed an artificially intelligent and interactive WhatsApp bot using Python.
• Deployed and maintained the operation of mission-critical software solutions.
• Led the development team of four people to achieve the development of the social register dashboard, customer verification API and support operational solutions.

• Reduced irrelevancies by filtering and cleaning data with automated and manual data reviews.
• Optimized statistical quality by developing databases, collection systems, and analytics.
• Transformed raw data into actionable insights for management teams.
• Defined new process improvement opportunities and measurement strategies using advanced knowledge of Structured Query Language (SQL).
• Effectively communicated technical concepts to non-technical stakeholders.