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Abdussomad OlayiwolaAO
Open to opportunities

Abdussomad Olayiwola

@abdussomadolayiwola

I build Python systems, data workflows, and applied machine-learning solutions.

Nigeria
Message

What I'm looking for

I'm looking for opportunities to build Python applications, data products, and applied ML systems while growing through hands-on engineering work, analytics, and collaborative remote teams.

I've built end-to-end Python systems including a hospital appointment platform, a smart course-registration advisor, and a QR-based attendance system that cut student check-in to under 10 seconds.

My work spans relational data modelling, Flask and Gradio backends, REST APIs, authentication, role-based access control, and deployment-ready interfaces. I also shipped AfriLearn Lens, an open-source XGBoost and SHAP pipeline that reached 80.78% accuracy on 32,593 records with zero data leakage.

Alongside my Data Analyst Internship at Oyo State Secretariat, I teach Python, AI, and data science to 150+ students and mentor undergraduates in applied programming.

Experience

Work history, roles, and key accomplishments

MS
Current

Data Analyst Intern

Management Information Center, Oyo State Secretariat

Apr 2026 - Present (4 months)

Supporting data reporting, dashboard development, and analytics workflows within a government information-management unit.

LA
Current

Python Programming Mentor

LAUTECH

Jan 2024 - Present (2 years 7 months)

Mentoring 50+ undergraduates in Python fundamentals, data structures, and applied programming.

AA
Current

AI & Data Science Instructor

Africa Research Center (ARC)

Jan 2024 - Present (2 years 7 months)

Designed and delivered a Python/ML curriculum to 150+ students; built a No-Code Data Analyst Programme covering SQL and BI concepts.

Education

Degrees, certifications, and relevant coursework

Ladoke Akintola University of Technology logoLT

Ladoke Akintola University of Technology

Bachelor of Technology, Computer Science

Grade: First Class Honours, CGPA 4.65/5.00

Pursuing a Bachelor of Technology in Computer Science with a CGPA of 4.65/5.00, achieving First Class Honours and ranking in the top 5% of the cohort.

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