Marco Cassiano Alves Email & Phone Number

Chicago, Il, Us

Position OverviewAs a Data Scientist collaborating with Pareto Intelligence for my MBA thesis, I contribute to advanced analytical initiatives that aim to enhance risk adjustment analytics for Medicare Advantage Organizations (MAOs) and Affordable Care Act (ACA) programs. This collaboration focuses on exploring innovative methodologies to improve predictive performance at the condition hierarchy level, supporting compliance and accurate risk adjustment premium distribution for healthcare stakeholders.Key ResponsibilitiesConduct research and analysis on healthcare condition hierarchies to optimize predictive modeling.Collaborate with senior data scientists and analytics teams to evaluate existing confidence-adjusted models and propose potential enhancements.Develop, test, and compare alternative predictive methodologies using Python, Spark, and advanced machine learning techniques.Analyze a subset of condition hierarchies to assess and improve model accuracy and performance.Document findings and methodologies, providing actionable insights for potential implementation.Present research progress and results to Pareto Intelligence stakeholders, contributing to actionable business strategies.Skills and ToolsProficient in Python, Spark, and machine learning frameworks for healthcare analytics.Expertise in data visualization and statistical analysis to communicate complex findings effectively.Knowledge of risk adjustment methodologies and CMS Hierarchical Condition Categories (HCCs).ImpactThis role supports Pareto Intelligence in enhancing its proprietary analytics capabilities, driving innovation in healthcare risk adjustment while aligning with CMS compliance requirements. Through my contributions, Pareto can continue delivering high-quality results that improve the accuracy of condition likelihood predictions and benefit healthcare stakeholders.

Miami, Fl, Us

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Advanced Mba Analytics And Artificial Intelligence – Data Science, Data Science

Associate'S Degree, Marketing Management