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About Candidate
Results-driven data professional with expertise in leveraging data-driven insights to inform strategic decisions across diverse industries. Skilled in statistical analysis, programming (Python, R, SQL), business intelligence (Power BI, Tableau), and machine learning, with a strong background in transforming complex datasets into actionable recommendations. Proven track record in building interactive dashboards, automating processes, and leading quality improvement initiatives. Committed to innovation, process optimization, and team leadership in tech-driven environments.
Location
Education
Work & Experience
Supported CDC-funded initiatives by driving health data strategy and operational research in high-burden HIV programs in Nigeria. Collect, clean, and organize large datasets related to health programs, ensuring data quality and integrity using Excel and statistical tools (Stata, SPSS). Analyze complex datasets with statistical methods and visualization tools (Power BI, Tableau) to identify trends, patterns, and insights, presenting findings to stakeholders via automated reports and dashboards. Develop and deploy interactive Power BI dashboards for key performance indicators, improving data accessibility for facility teams across Lagos. Automate data extraction and reporting processes using Google Sheets and Excel, reducing manual effort by 50% and enabling real-time monthly/quarterly reporting. Lead quality improvement projects, leveraging data analysis to optimize processes (e.g., increasing VL coverage from 89% to 94–95% in two quarters using machine learning insights). Mentor teams on data-driven decision-making and best practices, enhancing operational efficiency through customized tools like KoboToolbox monitoring systems.
· Led data quality and visualization strategies for HIV/AIDS program implementation, ensuring alignment with global health standards. . Analyzed health-related datasets using statistical and visualization tools, identifying actionable insights to improve program outcomes. · Implemented data quality controls in Excel and SQL, validating accuracy and resolving discrepancies to ensure reliable reporting. · Collaborated with stakeholders to translate research needs into data analysis plans, delivering comprehensive reports and presentations using Power BI. · Contributed to multidisciplinary teams, driving process improvements and quality initiatives through data-driven strategies. · Mentored teams on leveraging analytical reports to enhance performance, building custom tools for monitoring and follow-up.
Managed and analyzed operational datasets to optimize clinical processes, using Excel and statistical tools to identify efficiency gaps. Developed automated reporting systems and dashboards to support decision-making, improving team workflows. Led process improvement initiatives, supervising teams to implement data-informed strategies for operational enhancements. Designed and executed minor technical projects (e.g., spreadsheet automation, process monitoring tools), enhancing productivity and accuracy.


