Emilio R T.

Data Science Manager @Press Ganey

Chicago, IL, US

Manager of a four-person, innovation-oriented data science team focused on building and scaling predictive analytics and applied machine learning products for Medicare Star Ratings and other healthcare quality domains, both regulated and unregulated.Hiring, performance-managing, and developing a diverse, high-performing team of data scientists with strengths across machine learning, AI, software engineering, and healthcare.Expanding delivery from one project per year prior to my arrival to multiple concurrent projects today, with a roadmap to significantly increase capacity.Partnering closely with product management, analytics engineering, dashboard delivery, and client-facing consulting teams to embed predictive outputs into existing products and translate applied machine learning into direct client value.Supporting direct revenue enablement, with a growing share of predictive analytics projects generating revenue by informing strategic planning and performance improvement for healthcare organizations.Providing technical and statistical leadership while remaining hands-on with data munging, feature engineering, modeling, and Python/PySpark development. Current modeling focuses on classification and regression using XGBoost with MLflow-based experiment tracking and model management.Designing modeling approaches suited to healthcare constraints, with emphasis on interpretability, small-sample learning for survey-based targets, and operational usability for clients.Establishing repeatable workflows for transforming insurance claims and survey data into high-quality modeling features, and evolving internal tools and MLOps capabilities for rapid, reliable model development and deployment.

Rice University

Bachelor's Degree, Statistics; Minor: Biochemistry and Cell Biology

University of Pennsylvania

Non-degree coursework, Neuroscience, Psychology, Philosophy