Household Objects Image Data Labelling
This project involved annotating objects from images of indoor household environments containing various objects some of which were incorrectly arranged
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I am an experienced data annotator and data analyst with a strong background in labeling and validating large datasets across text, image, audio, and video domains for machine learning and AI model development. My work has focused on ensuring high data quality and consistency, collaborating closely with data scientists and engineers to deliver robust training data for projects in computer vision and NLP. I am skilled in Python (Pandas, Scikit-learn, TensorFlow), SQL, Excel, and Tableau, and have a proven track record of identifying patterns to enhance model accuracy and supporting data-driven decision-making. My experience includes implementing quality checks, developing machine learning models, and guiding junior team members to maintain best practices in data annotation and analysis.
This project involved annotating objects from images of indoor household environments containing various objects some of which were incorrectly arranged
This project involved training AI systems on following the best practices when developing Python code
Certificate, Data Science
Bachelor of Engineering, Chemical Engineering
Data Scientist
Data Annotator