Bhargavi Goud

AI Data Operations professional with hands-on experience supporting machine learning initiatives through data annotation, data validation, AI output evaluation, and quality assurance. Proven ability to review, classify, and validate structured and unstructured datasets, identify inconsistencies, and maintain high-quality AI training data while consistently meeting productivity and accuracy targets. Proficient in Microsoft Excel, SQL, and Python, with strong analytical, problem-solving, and data management skills.

Experienced in data cleaning, data preprocessing, reporting, documentation, and collaborating with cross-functional teams to support AI model development and data-driven decision-making. Committed to delivering accurate, reliable, and high-quality data solutions while ensuring compliance with data privacy and quality standards.

Data Moderator | Data Analyst – Orbit Project - CENTIFIC - Redmond, WA

(2026-03)

• Reviewed, validated, and moderated AI training datasets to ensure data accuracy, consistency, and compliance with machine learning project guidelines.
• Performed data annotation, labeling, classification, and validation of structured and unstructured datasets to improve AI model performance and data quality.
• Conducted data cleaning, preprocessing, quality assurance, and integrity checks to maintain accurate and reliable datasets.
• Evaluated AI-generated outputs, identified data inconsistencies, documented findings, and escalated quality issues for resolution.
• Maintained audit logs, operational reports, and project documentation while meeting productivity, quality, and SLA requirements.
• Utilized Microsoft Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query), SQL, Microsoft Teams, and Outlook to analyze data, prepare reports, and maintain documentation.
• Collaborated with Operations, Quality Assurance, and Technical Support teams to resolve data quality issues and improve project workflows.
• Ensured compliance with data privacy, confidentiality, information security, and organizational policies while handling sensitive datasets.
• Assisted with troubleshooting hardware, software, network connectivity, and system issues to support uninterrupted data collection.
• Monitored recording systems, camera equipment, metadata validation, and field operations to ensure successful project execution.
• Supported device setup, user access management, and system configuration for project participants.
• Communicated project updates, issue resolutions, and technical information effectively with cross-functional stakeholders.

Graduate Data Analyst - Trine University - Phoenix, Arizona

(2025-08 - 2025-12)

• Collaborated with cross-functional teams to gather business requirements and ensure data quality standards were consistently met.
• Utilized Microsoft Excel and SQL to collect, organize, validate, and analyze structured and unstructured datasets.
• Performed data cleaning, validation, and quality assurance to identify discrepancies and improve data accuracy and integrity.
• Prepared datasets, reports, and documentation to support data analysis, reporting, and business decision-making.
• Maintained data collection documentation, workflows, and data dictionaries to ensure process consistency and compliance.
• Supported reporting and data visualization activities by preparing accurate and reliable datasets.
• Monitored data collection processes, identified process improvement opportunities, and implemented solutions to reduce errors and improve efficiency.
• Managed confidential customer data while ensuring compliance with data security, privacy, and organizational policies.
• Generated periodic reports, data summaries, and analytical insights to support business objectives and stakeholder reporting.
• Analyzed data trends and patterns to provide actionable business insights and support data-driven decision-making.
• Communicated data requirements, project updates, and issue resolutions effectively with technical and non-technical stakeholders.

Data Analytics Intern - Vertex Technologies - Hyderabad, India

(2022-05 - 2022-12)

• Collected, cleaned, validated, and analyzed structured and unstructured datasets to support business reporting and data-driven decision-making.
• Utilized Microsoft Excel and SQL to organize, analyze, and maintain data accuracy across multiple data sources while ensuring data integrity.
• Performed data validation, quality assurance, and data quality checks to identify inconsistencies and improve dataset accuracy and completeness.
• Prepared analytical reports, maintained project documentation, and summarized data to support business insights and stakeholder reporting.
• Collaborated with cross-functional teams to document data workflows, improve data management processes, and support continuous process improvement.

Master of Science - Information Studies - Trine University (2023-01 - 2024-12)