Stephen Ojo

Oversee data integrity, security, and governance for the Environmental Surveillance Programme (ESPN); designed REDCap instruments, developed SOPs, performed QA audits, and delivered Power BI dashboards to support evidence-based public health decisions.

Collected and analyzed data using SQL and Python, built and evaluated ML models to improve predictive accuracy, and prepared training curricula and learning resources for trainees and interns.

Led a data team for a parliamentary governance project, designed data models, refined capture/cleaning processes, and delivered interactive Power BI dashboards and reports to improve transparency and stakeholder engagement.

Led end-to-end client data projects including data modeling, ML model building, and reporting; delivered training on SQL, Power BI, Tableau and Python and coordinated training operations to improve client outcomes.

Facilitated full-stack data analytics training covering Advanced Excel, Tableau, Power BI, SQL and Python, mentoring learners to complete industry-relevant projects and improve tool proficiency.

Performed data cleaning, feature engineering and ML model development in Python; executed SQL queries and built Power BI reports and dashboards to streamline data retrieval and visualization.

Developed training curriculum and manuals on SQL, Python and Power BI and supported executive training sessions to boost corporate staff analytics capabilities.

Pursuing a Master of Science in Information Technology with expected completion in November 2025, focusing on IT applications for data management.

Pursuing a Master of Public Health with expected completion in December 2026, focusing on public health data strategies and applications.

Grade: 4.1/5.0

Completed a Bachelor of Technology in Statistics with a cumulative GPA of 4.1/5.0, focusing on statistical methods for data analysis.

Grade: Distinction

Completed a National Diploma in Computer Science with Distinction, covering core computing and programming fundamentals.