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Freelancer Overview

I am a data professional with extensive experience in collecting, cleaning, and validating complex datasets to ensure high-quality data for analytics and AI model training. My background includes hands-on work with data wrangling, annotation, and pre-processing using Python, SQL, Excel, and R, as well as designing robust data pipelines and implementing validation checks to maintain data integrity. I have collaborated with cross-functional teams to build and optimize datasets for predictive modeling and machine learning projects, applying statistical analysis, hypothesis testing, and A/B experimentation to transform raw data into actionable insights. My projects span domains such as finance, web analytics, customer operations, and digital content, where I have developed and visualized large, multi-source datasets using Power BI and Tableau. I am passionate about supporting AI initiatives by ensuring data accuracy, consistency, and relevance, and I excel at communicating findings to both technical and non-technical stakeholders.

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