IT Attachment / Practical Training (2026): learning-focused exposure to machine learning concepts
During the IT attachment/practical training, you focused on introductory machine learning concepts rather than labeled dataset production. Your work involved exploring basic applications and developing analytical problem-solving skills that can support later ML data preparation. There is no explicit mention of annotation tasks, dataset labeling, or use of a labeling platform in the resume. • Explored introductory machine learning concepts and applications as part of coursework/practical work. • Completed systems analysis case studies to build understanding of data and systems behavior. • Worked on mathematical and statistical problem-solving relevant to modeling and evaluation. • Used AI tools (e.g., ChatGPT/OpenAI tools) for learning support rather than formal labeling work.