Adeyinka Adebowale

I’m a results-driven data entry and data research professional with over 15 years of experience optimizing data management processes and enhancing data accuracy. I’ve supported organizations such as IPAS, Population Council, Marie Stopes, and FHI365, improving data accuracy by 15% through the implementation of artificial intelligence tools.

In my current role as a Data/Monitoring and Evaluation Officer (IPAS), I tag, review, and enter logbook data sheets into provided templates with speed and accuracy. I improved data quality by boosting Data Quality Assurance (DQA) by 30%, enabled 80% critical technical support for questionnaire translation and transliteration using AI, and collaborated with analysts to ensure 100% accuracy and consistency of data submissions.

Earlier experience strengthened my precision under pressure, including transcription, editing, and verification at Population Council and high-volume pensioner data entry using IPPIS. I reduced error rate by 30% through validation checks, trained 10+ staff members (improving team efficiency by 25%), and successfully migrated 100,000+ records with zero data loss—always with a focus on integrity, accountability, and clear communication.