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Freelancer Overview

I am a data scientist with extensive experience in building and managing high-quality datasets for machine learning and AI applications across domains like computer vision, NLP, and medical data. My background includes engineering data collection systems, developing annotation protocols, and leading teams to ensure accurate and consistent labeling for complex projects such as Multiple Sclerosis lesion segmentation, document layout analysis, and natural language processing tasks. I am highly proficient in Python, R, SQL, and cloud tools like AWS SageMaker and Databricks, and I have hands-on expertise with data cleaning, exploratory analysis, and visualization using Tableau and Power BI. My focus is on transforming raw data into reliable, well-structured training datasets that drive robust AI models, while maintaining strong communication with stakeholders and adhering to best practices in data quality and project documentation.

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