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Freelancer Overview

I am a detail-oriented data analyst with hands-on experience in building automated data pipelines, managing large-scale datasets, and ensuring high data quality for AI and machine learning projects. My background includes designing and maintaining geospatial and tabular databases, developing rigorous ETL/ELT processes, and applying data science and machine learning techniques—including clustering, classification, and convolutional neural networks—for pattern recognition and prediction tasks. I am highly proficient in Python, SQL, R, PostgreSQL, and modern GIS tools such as ArcGIS, QGIS, and Mapbox, as well as cloud platforms like Google Cloud and BigQuery. I have worked extensively on projects involving data extraction, cleaning, annotation, and integration, supporting both research and operational teams to deliver accurate, actionable training data for AI-driven solutions in domains such as public health and spatial analytics. My focus on reproducibility, schema alignment, and collaborative workflows ensures that the datasets I prepare are reliable and ready for downstream modeling and analysis.

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