Data Annotation Specialist

Collected, organized, and validated sensitive personal data from 20 strategic respondents using CAPI methodology. Maintained 100% accuracy in completeness checks before official submission.

Classified and labeled demographic, employment, and regional data across more than 600 records using predefined categories and consistent annotation standards. Cross-referenced multiple sources to identify inconsistencies, flag incomplete entries, and document quality-assurance rationale.

Followed privacy and data-handling guidelines throughout the collection, validation, and submission workflow.

Reviewed and validated multi-year demographic and employment datasets for completeness and accuracy prior to government publication. Achieved 100% dataset accuracy through systematic quality checks.

Classified and labeled more than 300 entries into predefined sector categories while maintaining labeling consistency. Documented review decisions and quality rationale for audit readiness and compliance with national data-governance standards.

Completed 14 hours of professional training on Satu Data Indonesia and National Statistics System standards.

Led an independent census project collecting and classifying sensitive demographic data from 184 households comprising 685 residents. Maintained attention to privacy, accuracy, and consistency throughout the work.

Produced the first Administrative Village Map of Lalowaru through systematic geospatial data collection and annotation. Managed the complete annotation pipeline independently from planning through final output.

Demonstrated self-directed project ownership and the ability to work remotely without real-time supervision.

Current undergraduate student with a GPA of 3.58/4.00. Relevant coursework includes Statistical Computing, Data Analysis, Research Methodology, Data Visualization, and Multivariate Data Analysis.