MSc Student - Machine Learning/Data Labeling
ImageClassification
Built supervised ML models on health datasets, involving manual labeling and curation of training data to refine classification accuracy. Responsible for feature engineering and validation of labeled datasets for model input. Ensured the labeled data met quality benchmarks through systematic review and testing.
• Prepared health dataset labels for machine learning experiments
• Curated and validated input features for supervised learning
• Applied manual corrections for label consistency
• Evaluated labeled data for impact on model performance
Built supervised ML models on health datasets, involving manual labeling and curation of training data to refine classification accuracy. Responsible for feature engineering and validation of labeled datasets for model input. Ensured the labeled data met quality benchmarks through systematic review and testing. • Prepared health dataset labels for machine learning experiments • Curated and validated input features for supervised learning • Applied manual corrections for label consistency • Evaluated labeled data for impact on model performance
2024 - Present