Data Preprocessing Project (Customer Data Preparation)
I applied data preprocessing techniques to prepare and clean textual customer datasets for analytical use. My work involved transforming raw text into structured formats suitable for downstream modeling tasks. The project focused on classifying, normalizing, and transforming textual data to ensure quality analysis readiness. • Utilized Python and Google Colab for data processing tasks. • Employed cleaning and normalization strategies on customer-related text data. • Performed data quality checks and transformations for use in AI analytics. • Developed structured outputs for input into further machine learning models.