Python-based rule classification and structured data processing practice (project experience)
Designed and practiced rule-based classification logic using Python to organize datasets and transform raw inputs into structured outputs. Performed structured data processing with conditional logic, loops, and file read/write handling to support consistent labeling/classification workflows. Focused on implementing reusable code patterns for classification tasks and dataset organization. • Built Python-based rule classification systems for dataset organization. • Applied functions, dictionaries, loops, and conditions to process records. • Used file handling to read and write structured data outputs. • Practiced rule-based classification logic for transforming raw data.