Key Skills

Freelancer Overview

I am a Computer Science student with hands-on experience in developing machine learning and AI-driven applications, particularly in the medical and career guidance domains. My technical background includes Python, Scikit-Learn, Pandas, PyTorch, and SQL, along with expertise in data visualization using Matplotlib and Tableau. I have built and trained CNN and RNN models for Parkinson’s disease diagnosis using large, real-world datasets, focusing on accurate data annotation and preprocessing to achieve high model performance. My projects have required careful handling of diverse data types—such as voice and image data—emphasizing the importance of data quality and integrity in AI training workflows. I am passionate about leveraging my skills in data labeling, annotation, and AI model development to contribute to impactful machine learning solutions.

Labeling Experience

Education

Work History