Anoop Garige
Data Scientist @HCA Healthcare
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WORK HISTORY
Data Scientist @HCA Healthcare
Tampa, FL, US
Built an integrated patient data analytics and prediction pipeline under the Healthcare Intelligence platform using Python, Snowflake, and ETL workflows, improving data accuracy by 35% and reducing manual reconciliation across clinical systems by 40% through automated data validation and transformation.• Developed predictive models using scikit-learn and TensorFlow to forecast patient admissions, readmission risks, and care utilization trends, improving hospital capacity planning and resource allocation accuracy by 28%.• Designed and deployed clustering and KNN-based segmentation algorithms to identify high-risk and chronic patient cohorts, enabling personalized treatment pathways and improving care adherence metrics by 22%.• Optimized interactive Tableau dashboards to visualize healthcare KPIs including ER wait times, length of stay, and clinical throughput, providing near real-time operational insights that boosted hospital efficiency by 25%.• Leveraged R (ggplot2, dplyr) for exploratory data analysis and statistical modeling to uncover actionable correlations between demographic, clinical, and financial metrics, driving data-informed strategic initiatives at the executive level.• Deployed scalable machine learning workflows on AWS S3 and SageMaker, reducing model retraining and deployment time by 30% while ensuring compliance with HIPAA and enterprise data governance standards.• Collaborated cross-functionally with clinical, IT, and operations teams in an Agile environment to ensure data integrity, scalability, and explainability of deployed models through SHAP analysis and continuous validation, reducing model drift by 33%.
EDUCATION
University of South Florida
Master of Science - MS, Artificial Intelligence and Business Analytics
MVSR Engineering College
Bachelor's degree, Computer and Information Sciences
ABOUT ANOOP GARIGE
As a Data Scientist with over 3 years of experience, I specialize in transforming complex data into actionable insights that drive business and operational excellence. My expertise spans data extraction, preprocessing, exploratory data analysis, feature engineering, and building advanced machine learning and deep learning models.I’ve applied predictive analytics, NLP, and AI-driven automation across industries like healthcare and enterprise software to enhance decision-making, optimize workflows, and improve efficiency. Skilled in Python, R, SQL, TensorFlow, PyTorch, and AWS, I’m passionate about leveraging data science methodologies, A/B testing, hypothesis testing, and statistical modeling, to deliver measurable impact.At HCA Healthcare, I’ve developed scalable predictive models and analytics pipelines that improved hospital efficiency and patient outcomes. Previously, I contributed to AI and NLP model development at Newgen Software and built data-driven solutions at Persistent Systems for healthcare and financial clients.I’m always eager to collaborate on innovative data projects, explore cutting-edge AI technologies, and translate data into meaningful business strategies. Core Skills: Machine Learning | Deep Learning | NLP | Data Visualization | AWS | Python | SQL | Tableau | Power BI | Data Modeling | LLMs (BERT, GPT, LangChain)
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