Data Annotator
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I am passionate about leveraging data to drive impactful solutions, with hands-on experience in building AI-powered document pipelines and training machine learning models. My background includes developing an automated document extraction and search prototype using Python and open source libraries, which reduced manual work and errors for mortgage industry employees. I have also trained and evaluated classification models for credit risk analysis, working with complex datasets to optimize accuracy and recall. My technical toolkit includes Python, SQL, R, Power BI, Tableau, SAS, and IBM SPSS, and I am skilled in data analysis, statistics, and process improvement. I thrive in collaborative, cross-functional teams and am committed to high-quality data annotation and labeling to support robust AI and machine learning systems.
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i evaluated and compared the audio 2 multiple recordings and gave feedback based on 5 parameters
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