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Veer Arora
Junior Data Scientist specializing in ML, NLP, and healthcare analytics
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Built and deployed a healthcare NLP application that used an LLM-style physician interface feeding a random forest model to predict treatment plans for hard-to-triage patient subgroups, backed by a Databricks medallion pipeline and heavy feature engineering to address missing/low-integrity data across ~50K patients. Also delivered an earlier Microsoft AI Builder automation that improved transportation bill payment workflows by training non-technical payroll/procurement teams to use automated outstanding-payables reporting.
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Key Strengths
- Deployed clinical NLP/LLM-assisted workflow to support physicians in difficult treatment-plan prediction
- Built end-to-end Databricks pipeline (bronze→silver→gold→platinum) to produce ML-ready data
- Handled data integrity issues (missing data) via feature engineering and transformation
- Scaled healthcare ML workflow to ~50,000 patients
- Iterative model improvement using logged user inputs/outputs (JSON) for evaluation/fine-tuning
- Pragmatic model selection approach: benchmarking multiple base models and refining prompts
- Strong non-technical stakeholder enablement: trained payroll/procurement teams to adopt AI Builder reporting solution
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