Renato Rangel

• Designed, trained, and deployed machine learning models on AWS infrastructure to deliver real-time personalized decision support, enabling users to select optimal medical plans based on contextual data analysis. This work contributed to creating a patent.
• Designed and implemented workflows integrating large language models (LLMs) to enhance natural language understanding and automate data extraction of medical documents, and collaborated with engineering teams to scale these solutions for production deployment.

Led data science initiatives for a Brazilian healthcare platform, driving the development of innovative solutions and the company’s data strategy.

• Conducted comprehensive churn analysis, leveraging behavioral data to identify at-risk customers and recommend actionable retention strategies.
• Collaborated with cross-functional teams to align data-driven insights with business objectives, optimizing healthcare outcomes and operational efficiency.
• Established a scalable data infrastructure, enabling the integration and analysis of behavioral and clinical datasets.

• Developed and deployed predictive models for demand forecasting, employee retention, and customer behavior analysis, driving data-driven decision-making across multiple industries.
• Conducted statistical forecasting, customer segmentation, and marketing performance analysis to guide strategic decisions.
• Designed and implemented data pipelines, analyzed datasets from social networks, employee metrics, and market trends to derive actionable insights.