Key Skills

Freelancer Overview

I am a mechanical engineer with hands-on experience in data-driven projects and AI applications, particularly in computer vision and automation. My background includes developing a machine learning algorithm using Python and CNNs to predict dust accumulation on photovoltaic panels with 95% accuracy, which involved data collection, labeling, and model validation. I am skilled in data analysis, visualization (using Excel, Power BI, Minitab, Tableau, and MATLAB), and process standardization, with a strong focus on quality, accuracy, and efficiency. My experience spans technical documentation, root cause analysis, and cross-functional collaboration, making me adept at handling large datasets and ensuring high-quality training data for AI systems. I am passionate about leveraging my analytical skills and technical expertise to contribute to impactful AI and data annotation projects.

Labeling Experience

Education

Work History