Aysha Khenza Uzhunnan
Associate Ii - Data Science @UST HealthProof
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WORK HISTORY
Associate Ii - Data Science @UST HealthProof
Kochi, IN
Build and maintain NLP and Large Language Model (LLM) pipelines to generate automated insights and predictive outputs from unstructured healthcare data. Develop ML-based HCC suspecting models using Explainable Boosting Machines (EBM) to identify undocumented risk-adjustable conditions and produce probability-based clinical evidence for Medicare Advantage members. Design and manage end-to-end ML workflows in Azure Databricks, including data ingestion, preprocessing, feature engineering, model training, evaluation, and automated prediction delivery for Gap & Chase / CDI systems. Create and optimize data and database workflows with staging layers, logging mechanisms, schema validation, and data-quality checks across claims, pharmacy, laboratory, and enrollment datasets. Collaborate with cross-functional teams to build secure cloud-based ingestion frameworks, migrating on-premises SQL healthcare systems to scalable, ML-ready Azure environments.
ABOUT AYSHA KHENZA UZHUNNAN
Interdisciplinary AI and Bioinformatics professional with a Master’s degree in Computer Science and Artificial Intelligence, specializing in applying machine learning and computational methods to neuroscience and biological data. Experienced in building end-to-end ML and RNA-seq pipelines, developing interpretable predictive models, and translating complex multi-omics and healthcare datasets into actionable research insights. Proven ability to collaborate with researchers, clinicians, and cross-functional teams while communicating technical concepts clearly to diverse audiences. Combines industry data science experience with academic research exposure to design scalable, reproducible, and scientifically meaningful AI solutions at the intersection of technology and life sciences.
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