Data Labelling Analyst
• Annotated and structured financial and economic datasets, including GDP, trade flows, and public finance metrics, to train machine learning models
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I am a CFA Charterholder and finance professional with over four years of hands-on experience in data annotation, labeling, and AI training data for financial applications. My expertise lies in transforming complex financial datasets—such as regulatory filings, market reports, and economic indicators—into structured, high-quality inputs for machine learning and generative AI models. I have led projects involving prompt engineering, developed robust scoring criteria, and meticulously curated thousands of data points to enhance model accuracy in areas like financial forecasting, risk management, and regulatory compliance. Proficient in Python, Excel VBA, and industry-standard platforms, I excel at collaborating with data science teams to validate and refine labeled data, ensuring precise and domain-specific AI outputs. My background in financial analysis and algorithmic trading further strengthens my ability to deliver high-impact AI and data automation solutions.
• Annotated and structured financial and economic datasets, including GDP, trade flows, and public finance metrics, to train machine learning models
GTFA reasoning style question that challenges the boundary of best LLM models!
Bachelor of Science, Economics
National Diploma, Mathematics and Statistics
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