Data Cleaning & Preprocessing

Collected raw datasets from multiple sources (Excel, CSV, SQL, APIs).

Cleaned and standardized data by handling missing values, duplicates, and errors.

Used Excel formulas, Power Query, and VBA to automate repetitive cleaning tasks.

Created structured tables with proper data validation for consistency.

Reduced data preparation time by X%, ensuring accurate insights for analysis.