Open to opportunities

Razak Appiah

@razakappiah

Message

I build deep learning and data science solutions for healthcare and energy insights.

Ghana

Message

What I'm looking for

I'm looking to contribute to data science, machine learning, and AI research projects where I can build practical models, analyze data, and continue growing through mentorship and collaboration.

I'm implementing MSGDA-Net for diabetic retinopathy detection, building a deep learning architecture for lesion segmentation and disease grading using PyTorch and Python.

As a Research Fellow at the Data Intelligence and Swarm Analytics Laboratory, I research deep learning, image classification, and segmentation. I also mentor undergraduate students on ML/AI research projects, model development, experiment design, and implementation.

At GETA-Solutions, I work with a team to analyze demographic and energy-transition data, turning trends and patterns into charts, dashboards, and reports that inform business strategy and customer experience.

I'm also a Teaching Assistant at the University of Ghana, where I support teaching, organize tutorials, and help students navigate their career paths. My work combines machine learning, data analysis, research, and practical problem-solving.

Experience

Work history, roles, and key accomplishments

Current

Teaching Assistant

Current

University of Ghana

Nov 2025 - Present (9 months)

Assisting lecturer with teaching and non-teaching work. Organizing tutorial sessions to help students understand course materials and assisting students in navigating their career paths.

Current

Data Science Intern

Current

GETA-Solutions

Feb 2025 - Present (1 year 6 months)

Worked in a team providing data-driven insights to inform business strategies, improve customer experience, or optimize internal processes on energy transition. Analyzed trends, patterns, and insights, presenting findings through charts, dashboards, or reports on demographic data and energy transitions.

Current

Research Fellow

Current

Data Intelligence and Swarm Analytics Laboratory (DISAL)

Sep 2024 - Present (1 year 11 months)

Conducted research in deep learning and image classification and segmentation, focusing on diabetic retinopathy detection. Mentored undergraduate students on ML/AI research projects and participated in weekly research seminars.