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DocumentI am a detail-oriented data scientist with hands-on experience in preparing, analyzing, and interpreting data for machine learning and AI applications. My background includes working on projects involving customer segmentation, purchase prediction, and neural network optimization, where I handled data preprocessing, feature engineering, and model evaluation using Python, SQL, and libraries such as Scikit-learn and PyTorch. I am proficient in data annotation and labeling for both structured and unstructured datasets, including computer vision and NLP tasks. My skills in data visualization (Tableau, Power BI, Matplotlib) and statistical analysis ensure high-quality, reliable training data for robust AI models. I am passionate about leveraging my technical and analytical expertise to support teams in building accurate, impactful AI solutions.
We had to provide a public document and judge Openai and claude opus based on the responses they gave and correct them if needed
Bachelor of Technology, Information Technology
Associate Software Developer
