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Pallavi Yellisetty
Mid-level AI/ML Engineer specializing in predictive modeling, NLP, and recommender systems
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About
AI/ML manager who has deployed production NLP in healthcare—mining unstructured clinical notes and combining them with structured patient data to predict readmissions, with strong emphasis on data alignment and terminology normalization. Also experienced operationalizing ML with Airflow/MLflow and AWS Step Functions/SageMaker, plus stakeholder-facing Power BI dashboards (e.g., marketing customer segmentation).
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Key Strengths
- Built and deployed an NLP system to predict patient readmissions from clinical notes
- Strong unstructured + structured data integration (ID/timestamp matching, synchronization)
- Custom clinical text cleaning/normalization (abbreviation mapping, typo/terminology standardization)
- Production workflow orchestration across Airflow, MLflow, and AWS Step Functions/SageMaker
- Designs resilient pipelines with retries, alerting, task-level monitoring/logging, and checkpointing
- Communicates effectively with non-technical stakeholders using simple explanations and Power BI dashboards
Reference Highlights
- High visibility into work quality and professionalism
- Strong end-to-end ownership from design through deployment
- Effective cross-team collaborator
- Communicates well with technical and non-technical stakeholders
- Explains technical concepts clearly
- Adapts communication to the audience
- Focuses on business relevance
- Uses simple language/visuals to drive alignment
Pallavi's references speak for themselves. Let us connect you.
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