S Dhiksith

‎I am a reliable and detail‑oriented AI Data Analyst with several years of experience supporting machine learning and AI systems through high‑quality data evaluation and content analysis. I currently work with Telus International, where I review and validate large‑scale digital content, including videos, images, news, and multimedia data, ensuring accuracy, relevance, and strict adherence to quality guidelines. ‎ ‎My work closely aligns with data annotation, LLM evaluation, and AI training operations. I have strong hands‑on experience in metadata tagging, content categorization, guideline‑based evaluation, and quality assurance across high‑volume datasets. I consistently identify edge cases, quality gaps, and patterns in data, and document actionable insights that contribute to improved model performance and user experience. ‎ ‎Key Achievements: ‎ ‎Maintained high quality and accuracy scores while handling large volumes of multimedia data under tight turnaround times ‎ ‎Successfully adapted to frequent guideline and project updates without compromising consistency or output quality ‎ ‎Contributed to improved data reliability by identifying recurring issues and providing structured feedback through analytical reports ‎ ‎Demonstrated strong attention to detail and process compliance, supporting AI systems with clean, well‑validated datasets ‎ ‎Trusted to handle complex and sensitive content evaluation tasks requiring precision and judgment ‎ ‎ ‎I am process‑driven, dependable, and comfortable working with global teams on both short‑term tasks and long‑term projects. Clients value my consistency, ability to follow detailed instructions, and commitment to delivering accurate, high‑quality results on time. I am well‑suited for roles in data annotation, content evaluation, AI quality review, and AI training support. ‎