Labeler
Label the action of video segments.
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I am a data analyst and researcher with hands-on experience in data preparation, cleaning, and advanced statistical analysis, particularly in the health and public sector domains. My background includes leading machine learning projects for predicting anxiety severity among students, developing automated data pipelines using Python (Pandas, Scikit-learn, PyTorch, Selenium), and employing R for Bayesian modeling. I have coordinated data collection and annotation efforts for mixed-method studies, including survey-based and sensor-derived datasets, ensuring high-quality, reliable training data for AI models. My work also spans explainable AI (XAI), cost-sensitive learning, and the application of SHAP for model interpretability, with a strong focus on health-related and bioinformatics data. I am adept at using tools like SPSS, STATA, and SQL, and have contributed to research involving both structured and unstructured data, making me well-suited for roles in data labeling and AI training data management.
Label the action of video segments.
Master of Science, Statistics
Bachelor of Science, Statistics
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