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Toloka

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Freelancer Overview

I have hands-on experience working with machine learning and deep learning projects that involve data preprocessing, annotation, and validation, particularly in computer vision and tabular data domains. My work on a Smart Agriculture Monitoring System included developing a CNN-based model for plant disease detection from images, which required meticulous image data labeling and validation to ensure accurate model training. I am proficient in Python, Pandas, NumPy, and visualization tools like Matplotlib and Seaborn, and have applied these skills in projects such as customer churn analysis, where I handled data cleaning, feature engineering, and exploratory analysis. I am detail-oriented, familiar with testing and edge-case analysis, and committed to delivering high-quality, reliable AI training datasets.

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