Federico Scivittaro is a Data Science Manager with nine years of experience turning large, messy healthcare and operations datasets into high-impact, production-ready analytics and ML products. He blends pragmatic engineering (Python, SQL, AWS, R) with advanced techniques like NLP, XGBoost, and custom topic modeling to inform oncology strategy and predict patient outcomes—achieving results such as 0.97 AUC for AML relapse prediction. At Swish Analytics and previously at Astellas and E15, he has shipped automated pipelines and client-facing tools in SageMaker/S3/Lambda and Django that drive daily decisions for healthcare and venue operations. He holds an MS in Computer Science from the University of Chicago and is an AWS Certified Solutions Architect, combining rigorous academic training with hands-on product delivery. A less obvious strength is his cross-domain fluency: he moves smoothly between social-listening sentiment analysis and large-scale clinical modeling, making complex insights accessible to stakeholders.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Chicago
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