Data Cleaner
The project reduced the data preparation and cleaning time by approximately [Insert Estimated Percentage, e.g., 50% or 5 hours/week], significantly improving data quality for subsequent analysis.
Created complex macros capable of importing and consolidating large datasets from multiple sources.
Implemented VBA routines for the automatic identification and removal of duplicates, correction of formatting errors and handling of missing values.
Utilized VBA controls and functions to apply custom validation rules (e.g., checking date format, numerical ranges) and generated detailed error reports.