Akinlabi Akinkunmi Taofeek

Conducted systematic random sampling to select households, ensuring a 100% chance of random selection for survey integrity.

Screened household member responses using Survey CTO, ensuring eligibility and high data quality for participation.

Provided a concise field report on daily observations, contributing to a published research paper in a peer-reviewed journal.

Performed comprehensive data analysis on over 500 survey responses using SPSS and Stata, identifying critical trends and enhancing research credibility.

Performed thorough cost descriptions and cost-effectiveness analyses for program interventions using Excel, informing strategic resource allocation decisions.

Revitalized the reporting environment by implementing a robust algorithm, enhancing security and efficiency, and reducing incidents by 20%.

Optimized metadata processes using Python, boosting report generation efficiency by 15% and improving data accessibility.

Conducted in-depth trend analysis of customer projects with Python, identifying consumer preferences, and optimizing conversion rates by 5%.

Utilized SQL, Excel, and Python for big data extraction and analysis, achieving 99% accuracy in predictive modeling.

Prepared comprehensive reports and executive summaries using MS Office, increasing strategic decision-making effectiveness by 15% for stakeholders.

Assisted in spousal violence research, identifying 13% prevalence of physical violence in the geographic location.

Utilized expertise in health financing and budgeting to optimize resource allocation, ensuring program sustainability and significant impact on health interventions.

Conducted comprehensive literature reviews, informing research methodologies and objectives.

Skillfully collected, managed, and analyzed qualitative and quantitative data, achieving 20% accuracy and completeness in research projects.

Proficiently utilized Kobotoolbox and Open Data Kit, enhancing research efficiency and data management.

Collaborated effectively with multidisciplinary teams, fostering open communication and sharing valuable insights.

Supported qualitative data collection from caregivers, local leaders, and health facility workers for critical health projects.

Electronically harvested EPI, SP-PMC, and malaria data using designated data collection applications, streamlining data capture.

Extracted data from ADR cards in control and intervention arm health facilities for detailed analysis.

Collaborated in monthly data validation across 8 LGAs, ensuring high data accuracy and reliability.

Collected and analyzed data from over 400 participants for an online survey, utilizing mixed methods for a thorough understanding of preferences.

Synthesized data into comprehensive reports and profiles, leading to accurate analysis of survey information and new understanding of respondent preferences.

Compiled data into easy-to-digest formats with insights from multiple sources, increasing customer engagement by 47%.

Collaborated closely with field supervisors, ensuring seamless data flow and adherence to protocols.