AI Training (Micro1) | 1 Month
During a 1-month AI training period, the candidate focused on learning foundational data analysis concepts and applying them in practical ways. The work emphasized developing analytical and problem-solving skills that support downstream labeling and model training workflows. No specific dataset, annotation scheme, or labeling platform was stated in the resume. • Learned basic data analysis concepts relevant to preparing data for AI tasks. • Applied practical examples to strengthen analytical reasoning. • Focused on improving problem-solving skills for AI/data workflows. • No explicit labeling actions (e.g., bounding boxes or entity tags) were described.