Venice Boat Classification
→
Summary
Developed a classification model using deep learning principles to accurately categorize different types of boats in Venice.
About
Highly motivated 400-level Computer Science undergraduate with hands-on experience in full-stack web development (Node.js, MongoDB, JavaScript) and foundational expertise in Data Science and Machine Learning. Eager to apply robust technical skills and agile methodologies, honed through national tech programs and practical projects, to an IT/SIWES Software Development placement, contributing to innovative solutions and driving project success.
Work
School
|Director / Instructor
Benin City, Edo State, Nigeria
→
Teaching
Summary
Led and supervised educational and technical activities within the organization. Assisted students in learning computer fundamentals, web development, and digital skills. Coordinated training programs and managed classroom activities effectively. Passionate about mentoring young learners in technology and software development.
Education
Federal University of Technology, Minna
Minna, Niger State, Nigeria
→
B.Tech
Computer Science
Languages
English
Skills
Programming Languages
JavaScript, Python, HTML5, CSS3.
Web Development Frameworks
Node.js, Express.js.
Databases
MongoDB, MySQL.
Machine Learning & Data Science Libraries
Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn.
Development Tools
Git, GitHub, VS Code, Jupyter, Jupyter Lab.
Software Development Methodologies
Agile Methodologies, Full-Stack Development, Backend Development, Frontend Development, API Development, Responsive Web Design.
Core Competencies
Data Analysis, Machine Learning, Deep Learning, Problem Solving, Software Engineering Principles.
Projects
Car Price Prediction
→
Summary
Created a machine learning pipeline to accurately predict car prices based on various features and market data.
Student Registration Portal
→
Summary
Developed a comprehensive full-stack web application designed to streamline student registration and management processes.