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Mindrift

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Freelancer Overview

I am an electrical engineering student with hands-on experience in data analysis, technical documentation, and hardware validation, making me well-suited for data labeling and AI training data roles. Through my internships, I have worked extensively with large datasets, including analyzing PI System and HMI data to identify root causes of equipment failures, and developing Python-based models for microgrid and wind energy resource analysis. My project work has involved programming data logging systems, integrating sensor data, and visualizing trends using IoT analytics platforms, which has strengthened my attention to detail and ability to ensure data accuracy and integrity. I am proficient with tools such as Python, MATLAB, AutoCAD, and data visualization platforms, and I bring strong skills in technical writing, problem-solving, and teamwork to any data annotation or training data project.

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