Andhika Indrastata Mahardika
I’m a data and customer support professional from Yogyakarta with 5+ years of experience across KYC data verification, e-commerce customer support, and AI data annotation.
About
I’m a data and customer support professional from Yogyakarta with 5+ years of experience across KYC data verification, e-commerce customer support, and AI data annotation. I’m known for careful, accuracy-first work, fast turnaround, and solving complex issues in busy environments—whether that’s verifying customer records to prevent risk or ensuring high-quality annotation across large datasets.
Today, I combine my KYC and data-verification background with hands-on AI annotation work, focusing on dataset quality, guideline compliance, and consistent judgment. I’m motivated to take on more leadership responsibility by improving processes, training teammates, and strengthening collaboration so both customer satisfaction and operational targets are consistently met.
- 5 years' experience
- Joined September 2026
Languages
- EnglishFluent
- IndonesianFluent
Industry experience
- Financial Services
- Retail
- Software & Internet
- Professional Services
- Other
Work experience· 5 roles
Annotate and label text, image, and conversational datasets according to detailed guidelines; review model outputs using scoring rubrics and reference answers; flag inconsistencies and edge cases to maintain dataset reliability; document ambiguous instructions and edge cases to improve annotation guidelines and overall data quality.
Verify customer data in line with KYC standards to ensure accuracy and completeness before account activation; perform enhanced due diligence on high-risk indicators; record and report discrepancies or suspicious transactions; process and update customer data within system workflows to maintain database quality and follow SOPs, regulations, and data security requirements; propose KYC workflow improvements based on findings.
Handle escalated customer and technical issues within service-level targets; coordinate with clients and technical teams to resolve complex problems; resolve a significant share of escalated issues while maintaining strong resolution rates; streamline support processes and improve documentation to increase issue-resolution efficiency; train new support staff on protocols and best practices to raise procedure adherence and service consistency.
Education
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