Data Analyst – Data Labeling Work
Classification
Cleaned, labeled, and transformed large-scale datasets using Python and data analysis tools. Data labeling operations focused on structured data, supporting downstream AI/ML tasks and business analytics. Ensured data quality and consistency through manual and semi-automated processing. • Managed labeling pipelines for tabular datasets using Pandas and NumPy
• Improved dataset usability by standardizing and validating labels
• Supported EDA for trend, anomaly, and issue identification
• Enabled rapid integration with analytical and machine learning workflows
Cleaned, labeled, and transformed large-scale datasets using Python and data analysis tools. Data labeling operations focused on structured data, supporting downstream AI/ML tasks and business analytics. Ensured data quality and consistency through manual and semi-automated processing. • Managed labeling pipelines for tabular datasets using Pandas and NumPy • Improved dataset usability by standardizing and validating labels • Supported EDA for trend, anomaly, and issue identification • Enabled rapid integration with analytical and machine learning workflows
Present