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.

• Envision and develop successful CRM and marketing automation campaigns for clients, aiming to increase marketing efficiency, leads and clients acquisition, brand engagement, and many other metrics.• Create customer segmentations based on their attitudes, behaviors, and main interests.• Provide enriched insights and recommendations per target audience and customer segments via in-depth quantitative marketing data analyses.• Generate data-based forecasts to anticipate future churn, sales, customer complaints, and other key performance indicators (KPIs).• Use marketing intelligence approaches to determine the future existence of possible fraudulent transactions per customer.• Secure key business relationships with numerous corporate clients, including Ipiranga Fuel Company, the second-largest fuel distribution company in Brazil.

• Provided detailed marketing and business intelligence analyses on market metrics, opportunities, and weaknesses related to consumer behaviors, competitors, market share, products relevance, among others.• Researched consumers’ purchase attitudes and behaviors to understand shopping journeys for several different product segments.• Monitored campaign schedules and guaranteed all planned marketing actions were performed on time.• Devised demand generation campaigns using SEO, SEM, content marketing, storytelling, digital engagement, and copywriting techniques and strategies.• Evaluated clients’ social media, landing pages, website traffic, engagement, and reach performance.• Nurtured relationships between clients and their target audiences via paid media, social ads, email marketing campaigns, and other engagement campaigns.• Measured and optimized Returns On Investment (ROI) and Marketing Analytics for all campaigns.• Deployed CRM automation and sales intelligence solutions to revamp sales and avoid the growth of churn rates.

• Brought creative and successful digital marketing campaigns to life for renowned clients including Reebok, São Paulo Soccer Club, Italian Coffee, and others.• Conducted creative brainstorming sessions with digital marketing and communication specialists to discuss potential approaches and come up with top-notch marketing solutions.• Directly presented marketing performance analytics and recommendations to clients’ representatives.• Served as one of the main marketing professionals and advisors of the entire company, achieving high levels of client satisfaction.• Mentored junior and senior analysts on a wide range of marketing and communication techniques.• Managed the evaluation of creative teams’ performance.