Mrunalini Burbure

Data Analyst with hands-on experience in data quality assurance, data validation, and large-scale dataset evaluation, built through applied work training and evaluating Large Language Models (LLMs) across text, image, audio, and multilingual datasets. Skilled in SQL, Python, Tableau, and Excel for data cleaning, analysis, and reporting, with a track record of maintaining SLA-grade accuracy across 26,000+ evaluation tasks.

Google Data

Analytics certified, with strong attention to detail, pattern/edge-case identification, and clear data-driven reporting.

AI Data Annotator — Project Aether - Outlier AI - Remote

(2026-05 - 2026-07)

• Evaluated and validated AI-generated responses for accuracy, relevance, safety, and overall data quality across multimodal tasks, applying detailed guidelines consistently.
• Completed Acting Class tasks by recording scripted sentences in multiple languages for speech model development, and rated AI-generated speech for pronunciation, fluency, and naturalness.
• Identified edge cases and annotation inconsistencies through systematic data review, improving overall dataset quality while consistently meeting productivity and accuracy benchmarks under evolving guidelines.

AI/LLM Analyst - Innodata

(2026-03 - 2026-05)

• Completed 100+ multimodal data annotation and evaluation tasks involving text, image, audio, and video, applying structured quality and ranking frameworks.
• Performed object-level image editing and dataset curation, flagging data inconsistencies that improved annotation accuracy and model training quality.

KPO Analyst — ESL Project - Virtusa Consulting Services

(2025-04 - 2026-02)

• Completed 26,000+ SEO and content evaluation tasks with consistently high data quality, conducting keyword research and content analysis to improve search relevance.
• Worked with large-scale datasets while consistently meeting SLA and productivity targets, maintaining high accuracy under strict quality guidelines.

Virtual Customer Service Associate - Amazon Development Centre India

(2022-09 - 2023-03)

• Assisted customers via chat and email while maintaining high customer satisfaction, resolving account, order, and payment issues efficiently.
• Consistently met quality, productivity, and response-time metrics in a high-volume, process-driven environment.

Bachelor of Technology - Electronics & Telecommunication - N.K. Orchid College of Engineering & Technology