Key Skills

Freelancer Overview

I am a Computer Science undergraduate with strong analytical skills and experience working with data-driven systems, machine learning workflows, and structured problem solving. Through academic projects and independent development, I have gained practical exposure to preparing datasets, organizing information, and working with structured and unstructured data. My work on projects such as an Airbnb price prediction system involved data preprocessing, cleaning datasets, identifying relevant features, and ensuring data consistency for regression models. Additionally, while developing a mood-based song recommendation system, I worked with user input data, categorization logic, and pattern recognition to generate meaningful recommendations. These experiences helped me understand how high-quality labeled data directly impacts the performance and reliability of AI systems. I am comfortable following detailed guidelines, maintaining annotation consistency, and reviewing outputs with careful attention to accuracy. My technical background in Python, Java, and web technologies also helps me understand the broader context of how labeled data is used to train machine learning models and AI applications. I bring a disciplined and methodical approach to tasks, strong focus on quality, and the ability to analyze edge cases or ambiguous data points. These qualities allow me to contribute effectively to AI training data and data labeling workflows while maintaining high accuracy and reliability.

Labeling Experience

Education

Work History