Key Skills

Freelancer Overview

I am a data professional with hands-on experience building and managing robust data pipelines, cleaning and standardizing large, multi-source datasets, and ensuring high data quality for analytics and reporting. My background spans e-commerce, finance, and environmental domains, where I have used Python (Pandas), SQL, and Power BI to automate ETL workflows, reconcile data discrepancies, and implement thorough validation and exception checks—key skills for data labeling and AI training data roles. I have collaborated closely with business stakeholders to define rules for treating complex data scenarios, documented data flows and transformation logic for transparency, and built audit-ready datasets that support downstream analytics and machine learning applications. My expertise in data quality assessment, anomaly detection, and technical documentation ensures that training data is accurate, consistent, and reproducible, providing a strong foundation for AI and analytics projects.

Labeling Experience

Education

Work History