Anjali Singh

Detail-oriented Trust & Safety and Technical Operations professional with experience in content moderation, ML data quality operations, and enterprise technical support. Skilled in enforcing content policies, reviewing user-generated content, and making accurate decisions in ambiguous and high-pressure situations. Experienced in identifying policy violations, escalating high-risk cases, and ensuring platform safety and compliance.

Strong background in data validation, root-cause analysis, and operational troubleshooting in high-volume environments. Proficient in Google Workspace, SQL, and Excel for structured analysis and issue resolution. Adept at working in fast-paced environments requiring judgment, precision, and adherence to evolving policies and SLAs.

TECHNICAL SUPPORT ENGINEER – GOOGLE WORKSPACE PROJECT at Tata Consultancy Service (2026-02 – Present)

• Resolved enterprise-level technical issues across Google Workspace applications including Gmail, Drive, Meet, and Admin Console.
• Performed root-cause analysis and advanced troubleshooting for system, access, and configuration issues.
• Managed high-priority escalations while ensuring SLA compliance and service continuity.
• Collaborated with cross-functional teams to resolve complex technical incidents impacting business operations.
• Documented recurring issues and contributed to process improvements and knowledge base updates.
• Metrics-Driven Performance: Consistently resolved 12–13 complex enterprise-level cases daily across Google Workspace applications (Gmail, Drive, Meet, Admin Console), maintaining a 95%+ CSAT score.
• SLA & Escalation Excellence: Achieved 96%+ SLA compliance while managing high-priority escalations and maintaining continuous service uptime for enterprise clients.
• Troubleshooting & Root Cause: Performed root-cause analysis and advanced technical troubleshooting to resolve system, access, and configuration issues.

CONTENT MODERATOR at TASKUS PVT. LTD. (2024-04 – 2026-02)

• Enforced content safety policies for user-generated content.
• Reviewed online content and applied established policy guidelines.
• Identified policy violations and escalated high-risk or ambiguous cases.
• Maintained accuracy and consistency while handling high-volume workflows.
• Participated in quality and policy calibration activities.

ML DATA ASSOCIATE - CONTRACTUAL at AMAZON DEVELOPMENT CENTRE PVT. LTD. (2024-01 – 2024-04)

• Performed data validation and quality checks for machine-learning datasets.
• Identified labeling errors, inconsistencies and edge cases.
• Used structured analysis to identify patterns and recurring data-quality issues.
• Followed annotation guidelines and SOPs to maintain data accuracy.
• Escalated ambiguous or conflicting cases to maintain dataset integrity.

BACHELOR OF SCIENCE – CSJMU (2018 – 2021)