Vidhyaa Bharathi G

Data Annotation Specialist with over one year of hands-on experience labelling and quality-assuring large-scale datasets for AI and machine learning models across computer vision, NLP, audio, and video domains. Skilled in image and video segmentation, bounding-box and polygon annotation, inverse text normalization, and brand-safety classification using industry tools such as CVAT and Encord. Recognized as Employee of the Month for accuracy and reliability, with a strong record of meeting tight deadlines, improving annotation guidelines, and collaborating across teams to deliver high-quality training data.

NLP / Data Annotation Analyst at Objectways Technologies (2024-05 – Present)

• Annotated and quality-assured video, image, audio, and digital-media datasets used to train AI and machine-learning models across computer vision, NLP, and speech domains.
• Performed semantic segmentation, 2D polygon, and whole-box / bounding-box annotation for computer-vision datasets using CVAT and Encord, maintaining high accuracy under strict QA requirements.
• Annotated facial, egocentric, and video-classification datasets, and segmented relevant video frames to support model training.
• Executed inverse text normalization (ITN) across general, telephone, social, time, and number datasets for NLP and speech-to-text model training.
• Classified video and digital-media content for ad-categorization and brand-safety models in line with IAB standards.
• Developed annotation blueprints and corrected datasets to improve consistency, reduce errors, and standardize workflows across projects.
• Completed annotation assessments and scoring tasks to validate dataset accuracy and relevance, and supported audio data sourcing and validation for AI/ML use cases.
• Handled high-priority, advanced annotation projects with strict quality benchmarks, plus batch processing, dataset review, and project documentation.

Data Analytics Intern at Roots Group of Companies (2024-03 – 2024-05)

• Analyzed receivables and tracked cash flow using Excel and Power BI to support data-driven financial planning and business decisions.
• Built and automated reports and dashboards that improved data visibility, accuracy, and operational efficiency.

Master of Science in Computer Science – PSGR Krishnammal College for Women (2024)

Bachelor of Science in Computer Applications – PSGR Krishnammal College for Women (2021)