2 Skills

Data Processing AI Skills

Process CSV/Excel files, work with pandas and numpy for data science, and build robust data pipelines with validation and error handling.

Data processing skills focus on handling, transforming, and analyzing data at scale. Includes Python data science with pandas and numpy, CSV/Excel file processing with streaming for large files, data validation with schema enforcement, and building ETL pipelines. Essential for data engineers, analysts, and backend developers working with data-intensive applications that require robust data quality and processing workflows.

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Python Data Science

Optimized for pandas, numpy, matplotlib, and Jupyter workflows with clean data science practices.

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CSV & Excel Data Processing

Process CSV/Excel files — parsing, validation, transformation, bulk imports, and export generation.

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