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Axiom AI

Data Annotation Tech

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Freelancer Overview

I am a results-driven data scientist and machine learning engineer with hands-on experience in building and deploying end-to-end machine learning solutions, with a strong emphasis on data quality and integrity. My background includes transforming raw, imbalanced, and complex datasets through comprehensive data profiling, cleaning, and preprocessing, ensuring that the data used for model training is accurate and reliable. I have engineered and fine-tuned predictive models in domains such as insurance, telecom, and healthcare, including image classification projects that required precise data annotation and validation. Proficient in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch), I excel at feature engineering, exploratory data analysis, and implementing robust data labeling strategies to support high-performing AI systems. My collaborative approach and ability to communicate technical insights make me effective in cross-functional teams, delivering actionable results that drive business value.

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