Indiana University Indianapolis
Master of Science, Applied Data Science
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I am an experienced data science and AI professional with a strong background in managing, annotating, and preparing high-quality training data for machine learning and NLP applications, particularly in clinical and regulatory domains. My expertise spans the end-to-end data lifecycle—from data collection and cleaning to designing robust annotation workflows and automating reporting processes using Python, SQL, and industry-standard tools like PyTorch, TensorFlow, and HuggingFace. I have led teams in implementing standardized data management practices for large-scale clinical trials and built AI solutions such as ComplianceBot, which leverages advanced document parsing and classification to streamline regulatory review. My hands-on experience with ETL pipelines, data labeling for compliance scoring, and the development of sentiment-aware dialogue systems demonstrates my commitment to delivering reliable, accurate, and actionable AI training data for complex real-world applications.
Aafaz Irfan I. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Applied Data Science
Bachelor of Engineering, Electronics and Telecommunications
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