I am a passionate Computer Science gradutae, Python developer, and aspiring Machine Learning Engineer with a strong focus on building intelligent systems that solve real-world problems. My journey into tech is driven by curiosity, continuous learning, and the desire to create meaningful impact through data and AI.

I specialize in Python, data analysis, and machine learning, with hands-on experience developing models, exploring datasets, and visualizing insights. I enjoy transforming raw data into actionable intelligence and building solutions that improve decision-making. Beyond my core focus, I actively explore other areas of technology—including frontend development and modern software engineering practices—to broaden my skill set, strengthen my versatility, and become a well-rounded developer capable of building complete, end-to-end solutions.

1. Machine Learning and Artificial Intelligence
2. Python development and automation
3. Data analysis, visualization, and storytelling
4. Solving real-world problems using data-driven approaches
5. Building impactful and scalable tech solutions
6. Exploring frontend development and user-focused applications

I am curious, growth-driven, and resilient. I enjoy learning by building, experimenting, and collaborating with others. I believe in consistency, community learning, and continuous improvement. I approach problems with a logical mindset and creativity, always seeking efficient, scalable, and innovative solutions. I am also intentional about expanding beyond my primary niche, continuously exploring new technologies and development areas that strengthen my overall engineering capability.

I am an active member of the tech community and have participated in programs such as the Arewa Data Science Fellowship,EJAZTECH.AI and NUPE Tech Community, where I collaborated with teams on real-world data science projects.

Through these experiences, I have gained practical skills in:

1. Data visualization using Matplotlib and Pygal
2. Building and improving machine learning models
3. Working on real-world datasets and solving business problems
4. Collaborative development and team-based projects

I am also gained technical experience through my internship at the Nigerian Communications Commission, expanding my knowledge in technology infrastructure, networking, and real-world systems. I also gained technical experience as a Data Science Intern at Saiket Learn Academy, expanding my knowledge in data analysis, data preparation, Visualization and real-world systems. I also gained technical experience as a Data Science Intern at codecraft, expanding my knowledge in data analysis, data preparation, Visualization and data-driven Solutions. I also gained IT support skills at Mega Star Cyber Cafe where i worked on solving hardware and software user issues, technology infrastructure, networking, and real-world systems.

I am currently focused on:

1. Advancing my skills in Machine Learning and AI Engineering.
2. Building real-world projects to strengthen my portfolio.
3. Contributing to open-source projects.
4. Developing scalable AI and software solutions.
5. Exploring other technological niche.
6. Exploring frontend and full-stack development concepts
7. Growing into a professional Machine Learning Engineer and AI Developer

My long-term goal is to become a versatile AI Engineer capable of building intelligent, user-centered systems that solve meaningful problems, especially in emerging and underserved communities.

• Languages: Python, SQL,C++,java,php
• Libraries & Tools: Pandas, NumPy, Matplotlib, Scikit-learn
• Concepts: Machine Learning, Data Analysis, Data Visualization
• Other Tools: Git, GitHub, Jupyter Notebook and EDA.

Engaging and productive topics, data-driven solutions, technological advancement.

Career guidance and Development, Mentorship, Scholarship support & opportunities, up skilling opportunities, networking and connection.

“Learn continuously, build consistently, explore broadly, and use technology to create meaningful impact.”