Toluwanimi Alonge

Led structured research workflow management across a team, overseeing task allocation, quality control, and daily KPI tracking. Identified coverage gaps and proposed process improvements to the Head of Research, including producing an unemployment disparity data proposal.

Sourced, retrieved, and organized web-published materials while maintaining evidence logs for workshops and community events. Produced structured written reports documenting research findings, meetings, and events.

Managed in-person qualitative data collection with digital recording/documentation tools and produced structured reports to strict deadlines. Maintained confidentiality and data protection compliance with a zero-incident record across fieldwork for government-adjacent projects.

Executed high-volume, structured survey data collection and maintained data integrity by following multi-step SOPs. Identified and flagged discrepancies and achieved 100% of National Farmers Union recruitment targets within a 6-week window.

Performed daily QA checks against SOPs, validating product quality and logging results in calibration, incident, and audit documentation. Identified critical slurry mixing errors during pilot production and escalated evidence to enable rapid resolution, contributing to the product becoming the top seller.

Managed structured research administration including schedule coordination, laboratory data entry, and preparation of detailed reports for senior research officers. Ensured research governance and compliance documentation was complete to support audit readiness and procedural adherence.

Grade: Distinction

Earned an MSc in Nutrition, Physical Activity, and Public Health with a Distinction. Used SPSS, NVIVO, and STATA for dataset validation, analysis, and structured reporting, including a dissertation auditing and validating third-party information.

Grade: 2:1

Completed a BSc (Hons) in Food Science with a 2:1. Studied experimental techniques, research methodology, and laboratory data management to build a foundation for structured, process-driven data work.