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Shiven Arya
Junior data and product analyst specializing in machine learning and analytics
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About
Senior at the University of Michigan who led most of the technical build for a real client-facing Medicare fraud detection system with explainable ML and an analyst-ready Streamlit dashboard. Also builds practical LLM tools independently, including a market sentiment pipeline over Reddit/news data and a resume parser/grader, showing strong product instinct alongside applied ML and data engineering depth.
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Key Strengths
- Owned end-to-end fraud detection deployment from discovery through handoff
- Built explainable ML workflows with SHAP-based plain-English outputs
- Strong healthcare fraud analytics using Medicare claims data
- Delivered model performance of 0.83 PR-AUC and 76% recall
- Built analyst-facing Streamlit tools for thresholding, drill-downs, and exports
- Effective stakeholder management across business and technical audiences
- Constructive scope control under budget and timeline constraints
- Debugged data leakage in train/validation splitting and corrected evaluation methodology
- Hands-on LLM pipeline development with LangChain, NewsAPI, and Reddit/PRAW
- Practical handling of noisy real-world inputs with cleaning, validation, and fail-safe error handling
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