Data Review & Validation Exercises (Self-Initiated)
Reviewed and validated over 1,000 rows of structured text and tabular data for formatting errors, missing values, duplication, and logical inconsistencies using Excel and Python. Built simple Python scripts to flag null values, schema mismatches, and anomalous entries. Applied consistent labeling and verification rules based on self-defined guidelines and documentation standards. Performed quality assurance checks to ensure uniform formatting, schema consistency, and data integrity across datasets. Maintained detailed records of validation steps and correction logic to ensure repeatability and high accuracy.