Sutopo Edy Antoro

Expert in data validation and structuring within healthcare, leveraging spreadsheet proficiency to ensure data quality, consistency, and readiness for analysis and AI systems.

• Achieved improved data quality and operational efficiency by performing healthcare data validation, cleaning, and normalization in compliance with established guidelines.
• Collaborated with a small cross-functional team (3–5 members) in the development and maintenance of the PIRT Information System and Pharmaceutical Consultation Service Information System.
• Utilized Microsoft Excel and Google Sheets to manage healthcare databases, conduct data validation, generate reports, and ensure structured, consistent datasets.
• Improved data accessibility and usability by standardizing healthcare data formats, reducing inconsistencies, and enhancing database organization.
• Supported reporting and decision-making processes by preparing validated datasets and summary reports for internal use.
• Documented data issues, validation results, and corrective actions, contributing to continuous improvement in data governance and quality assurance.
• Contributed to increased online and offline service utilization by improving the accuracy, completeness, and accessibility of healthcare information systems.
• Enhanced workflow efficiency by adopting and optimizing digital tools to support healthcare data validation and reporting tasks.

• Licensed Pharmacist — Authorized Health Regulatory Body | 1997–Present
• Certified District Food Inspector — Local Government / Food Safety Authority | 2020–Present
• Certificate in Public Procurement of Goods and Services — Government Procurement Authority | 2016
• Hazard Analysis and Critical Control Points (HACCP) Certification — Accredited Training Provider | 2025
• Good Manufacturing Practices for Food Production (CPPOB) Certification — Authorized Regulatory Body | 2024

Available for remote freelance or contract work. Experienced in handling health-related data with confidentiality and ethical data practices. Accustomed to guideline-based tasks, independent work, and maintaining high data quality standards. Strong interest in healthcare data quality, AI content evaluation, and data readiness for AI systems. Quick to adapt to new digital tools and AI platforms.