Key Skills

Freelancer Overview

I am a data analyst with hands-on experience in data cleaning, feature engineering, and data preparation across multiple domains including supply chain, marketing, finance, and operations. My background includes working with large, multi-source datasets using Python (pandas, NumPy), SQL (joins, CTEs, window functions), and Power BI to ensure high-quality, well-structured data for analytics and machine learning models. I have applied techniques such as sentiment analysis (NLTK VADER), clustering (KMeans), and predictive modeling (Random Forest, XGBoost) to extract actionable insights and support AI training workflows. My projects have required meticulous attention to detail in data annotation, transformation, and validation—skills essential for preparing reliable training data for AI systems. I am passionate about ensuring data accuracy and consistency to drive impactful, data-driven outcomes.

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Work History