Mubarak Adisa
@mubarakadisa
Data scientist and ML engineer specializing in end-to-end AI systems.
What I'm looking for
I am a data scientist and machine learning engineer with a foundation in civil engineering and computer science, experienced in building end-to-end AI systems, predictive analytics, and cloud-based deployments. I specialize in deep learning, generative AI, prompt engineering, and scalable MLOps workflows, and have applied these skills across education, engineering, and business domains.
My work includes student performance prediction using Random Forest and CatBoost, cross-modal multimedia retrieval, GenAI-powered TTS applications, and production-ready projects such as chicken disease classification (95.7% accuracy) and deployed ML pipelines using CatBoost, Random Forest, CI/CD, DVC, and cloud platforms like Azure and AWS.
Experience
Work history, roles, and key accomplishments
Teacher (Mathematics, Statistics)
Front Model College
May 2024 - Present (1 year 7 months)
Led a student performance prediction project using Random Forest and CatBoost and integrated coding, predictive analytics, and data visualization to improve math and statistics instruction.
Freelance AI/ML Developer
StackUp
Sep 2022 - Present (3 years 3 months)
Built end-to-end AI solutions including cross-modal multimedia retrieval and generative AI-powered TTS applications for remote clients.
Data Scientist / Analyst
Independent
Apr 2021 - Present (4 years 8 months)
Delivered ML/AI projects including bankruptcy prediction, chatbots, and environmental monitoring applications across multiple domains.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science, Computer Science
2022 -
Pursuing a B.Sc. in Computer Science with coursework in data science, AI, machine learning, databases, security, and web programming.
University of Ibadan
Bachelor of Science, Water & Environmental Engineering
2019 -
Pursuing a B.Sc. in Civil Engineering with specialization in Water & Environmental Engineering; final-year project exploring AI/ML applications in flood risk assessment and environmental sustainability.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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