Key Skills

Software

Data Annotation Tech

Mercor

Mindrift

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Freelancer Overview

I am a data scientist with a strong background in developing and deploying machine learning solutions, with hands-on experience in data annotation, feature engineering, and preparing high-quality training datasets for both NLP and computer vision projects. My expertise spans Python, SQL, Scikit-learn, TensorFlow, PyTorch, and data engineering tools like Spark, allowing me to build robust data pipelines and automate data labeling processes at scale. I have led end-to-end ML projects in domains such as medical imaging (brain tumor detection), financial risk (bankruptcy prediction), and network analysis, ensuring data integrity and annotation quality throughout the model lifecycle. My experience working closely with product and engineering teams has honed my ability to translate business needs into actionable data requirements, while my mentorship of junior team members reflects my commitment to upholding data quality standards in AI training workflows.

Labeling Experience

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Work History