Aether
Aether is built for contributors who like quick, simple tasks. It involves looking at a picture / text to describe it or spot the differences between two things. There is usually a straightforward instruction to follow.
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I am a detail-oriented finance professional with over five years of experience in managing, analyzing, and ensuring the accuracy of large-scale financial and operational datasets within highly regulated environments. My background includes extensive hands-on work with ERP systems (SAP, Sage 50, Xero, D365), advanced Excel (Power Query, Power Pivot), Power BI, and SQL, where I have automated data processes, improved data integrity, and produced high-quality reporting for decision-making. I am passionate about data quality and have led initiatives to streamline data workflows and standardize reporting, resulting in increased accuracy and efficiency. Currently pursuing a Master’s in Artificial Intelligence & Data Science, I am eager to leverage my skills in data annotation, data labeling, and AI training data preparation, ensuring clean, well-structured datasets that drive reliable machine learning outcomes. My experience in cross-functional collaboration and training others in data best practices further supports my ability to contribute to high-impact AI projects.
Aether is built for contributors who like quick, simple tasks. It involves looking at a picture / text to describe it or spot the differences between two things. There is usually a straightforward instruction to follow.
Master of Science, Artificial Intelligence and Data Science
Master of Business Administration, Business Administration
Pension Administrator
Finance Analyst