Self-study and bootcamp projects focused on Python/AI automation fundamentals (not a formal labeling role)
Engaged in ongoing self-directed AI and automation learning that supports building practical ML/data workflows. Practiced developing small Python automation scripts and command-line tools that lay groundwork for later data preparation and model training tasks. Used structured problem-solving and debugging to refine code that could be adapted for AI training pipelines. • Completed/learning phase of “100 Days of Code: Python Bootcamp” (Udemy) • Conducted AI & Automation self-study via online resources and practical research • Applied loops, functions, OOP principles, and error handling in structured projects • Explored workflow automation concepts and AI-driven productivity systems