Data Science & AI Portfolio Projects (Personal / Academic) — dataset annotation and evaluation practice
Built simulated AI dataset annotation projects focused on image and text classification tasks for machine learning practice. Created structured datasets and applied labeling frameworks to support consistent data preparation. Designed prompt testing workflows to evaluate AI response accuracy and bias detection. • Image and text classification dataset labeling • Labeling framework creation for annotation consistency • Prompt testing for accuracy and bias checks • Exploratory analysis to validate labeled dataset structure