I am a detail-oriented and adaptable professional with experience in data annotation, virtual assistance, and customer support. Currently, I specialize in data annotation, where I work on labeling and organizing datasets to support AI and machine learning models. My strength lies in accuracy, consistency, and the ability to follow complex guidelines while maintaining high-quality output.
Beyond data annotation, I have a background in administrative support and customer service, having worked as a Customer Support Intern and Virtual Assistant. I am skilled in handling data, managing tasks efficiently, and providing support across different business functions. I am also proficient in tools such as Google Workspace and Microsoft Office, which I use to manage data and workflows effectively.
I am a Computer Science graduate with additional training in backend software engineering, which gives me a strong understanding of technical systems and data processes. This allows me to approach annotation tasks with a deeper understanding of how data is used in real-world applications.
I am highly adaptable, quick to learn new tools, and able to work independently or within a team. My goal is to contribute to projects that require precision, reliability, and a strong work ethic, while continuing to grow in the field of data and technology.