Map Validation
As a Map Validation Specialist, my role is to verify and confirm the geolocations of areas, ensuring pins are accurately placed on the correct objects and that locations have the proper nomenclature.
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I am a certified data scientist with hands-on experience in data labeling, annotation, and validation for AI model training, particularly in NLP and generative AI domains. In my role as a Data Classification and AI Evaluator at Sama, I have contributed to optimizing machine learning models by ensuring high-quality structured data, monitoring performance metrics, and maintaining data integrity for ethical and scalable AI development. I am skilled in Python, SQL, TensorFlow, PyTorch, and Scikit-learn, and have worked on projects involving dashboarding, predictive modeling, and workflow automation. My background also includes building sustainability dashboards, automating data pipelines, and mentoring others in data science, giving me a strong foundation in both technical execution and collaborative problem-solving for AI and data-driven projects.
As a Map Validation Specialist, my role is to verify and confirm the geolocations of areas, ensuring pins are accurately placed on the correct objects and that locations have the proper nomenclature.
Based on a set of instructions, generalists were to carry out the tasks online, taking periodic screenshots to document each step and procedure followed.
The project aimed to classify model-generated images as either the best or worst among a set of responses to a given prompt.
Bachelor of Science, Geospatial Information Science and Remote Sensing
Data Classification and AI Evaluator
Data Analyst