ALEKWE CHUKWUFUMNAYA JOY

Prepared and annotated synthetic healthcare datasets and ground truth data to train OCR AI models for clinical document processing.

Ensured dataset quality, consistency, and ethical compliance, producing fully synthetic, non-identifiable structured data that improved model performance.

Collaborated with a cross-functional team to optimize data format and structure for AI model compatibility, enhancing training efficiency and accuracy.

Collected, organized, and validated data from multiple sources to support accurate and consistent analysis and reporting across business and healthcare use cases.

Cleaned, transformed, and prepared datasets to ensure data integrity before analysis, improving reporting accuracy and workflow efficiency across teams.

Developed and maintained 15+ interactive dashboards and data visualizations in Power BI and Excel, tracking revenue trends, customer behavior, and operational KPIs, which were adopted by management for recurring strategic reviews.

Wrote SQL queries, including joins, aggregations, subqueries, and filters, to extract and manipulate data from large structured databases, significantly reducing manual reporting effort.

Performed trend analysis and basic statistical analysis to generate actionable business insights for both technical and non-technical audiences, translating complex data findings into clear visualizations and reports for non-technical stakeholders, supporting data-driven decision-making.

Recorded and validated vaccination data across multiple community immunization campaigns, ensuring accurate and timely reporting for health authorities.

Monitored immunization coverage across villages, managing records used to guide local health interventions and evaluate campaign effectiveness over a 6-year period.