Abolarinwa Otun

Gathered and validated geospatial, drone, and survey data and produced visualizations and reports to communicate spatial findings; developed predictive models to support land mapping accuracy and resource allocation.

Develop and deploy AI-driven systems leveraging LLMs and RAG frameworks to support digital initiatives; built AI tutoring and email phishing detection tools that improved digital engagement and security. Design and optimize data pipelines integrating ML, NLP, and geospatial inputs to inform policy research.

Built a Python web scraping pipeline to collect and analyze 10,000+ customer reviews and conducted sentiment analysis and topic modeling; developed ML models achieving 85% accuracy to predict customer buying behavior.

Analyzed operational and logistics data to improve security, efficiency, and customer experience; optimized parking allocation and produced management reports to support operational improvements.

Streamlined land record acquisition and documentation, conducted field inspections to verify property data integrity, and enhanced land management workflows through structured data validation.

Postgraduate Diploma in Computer Science currently in view.

Ongoing applied data science / laboratory training (in progress).

Data Science certificate coursework in progress.

Bachelor of Science in Geography and Planning completed between 2016 and 2021.