Key Skills

Freelancer Overview

I am a Computer Science student specializing in Machine Learning and Artificial Intelligence, with hands-on experience in building and evaluating predictive models using real-world datasets. My background includes extensive work with data preprocessing, cleaning, and exploratory analysis, as well as designing robust machine learning pipelines for both structured and unstructured data. I am proficient in Python, SQL, and major ML frameworks such as PyTorch, TensorFlow/Keras, scikit-learn, and XGBoost, and have applied these tools to projects involving class-imbalanced binary classification and employee attrition prediction. My academic and project experience has given me a strong understanding of the importance of high-quality, accurately labeled data for training effective AI models, and I am eager to contribute my skills to data annotation and AI training data roles.

Labeling Experience

Education

Work History