Bharath Avulapati

I am a data scientist with over four years of experience building and deploying machine learning models to drive business and healthcare improvements. I specialize in feature engineering, predictive modeling, and end-to-end ML pipelines across AWS and Azure.

At UnitedHealth Group I developed models to predict patient readmission and optimized ETL workflows on AWS, improving pipeline reliability and reducing processing time. I collaborate closely with clinical and operations teams to ensure models align with patient care objectives.

Previously, at Cognizant and Barclays I engineered features, validated models, and created interactive dashboards in Power BI and Tableau that improved decision-making and stakeholder reporting. I have a track record of improving accuracy, increasing marketing response rates, and boosting data processing speeds.

I value data quality, reproducible workflows, and scalable deployments; I enjoy partnering with DevOps and engineering teams to productionize models and deliver actionable insights that measurably impact outcomes.