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Freelancer Overview

I am a graduate student in Computer Science and Engineering with a strong foundation in data processing, annotation, and machine learning. My experience includes cleaning and preparing large-scale medical datasets for predictive modeling, where I achieved high accuracy in diabetes risk prediction using multiple supervised learning algorithms. I am skilled in Python, PySpark, SQL, and data visualization tools, and have built end-to-end data-driven applications, including deploying models in user-facing web apps. My background in physics and hands-on projects, such as optimizing retail inventory data and developing satellite communication systems, has given me a keen attention to detail and a systematic approach to handling diverse data types. I am passionate about ensuring high-quality, well-labeled data to support robust AI model training and deployment.

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