Marco Antônio

Developed, monitored, and optimized hospital dashboards and predictive models for finance, administration, and operations across multiple affiliated hospitals. Built the organization’s first integrated financial dashboard in Power BI and delivered monthly C-level performance reports, improving transparency of operational and financial KPIs.

Assessed, ranked, and refined AI-generated code to align with coding standards and quality benchmarks. Leveraged German (B1+) to optimize generative AI models for German-language localization (de_DE, de_AT).

Built the company’s first BI system using Power BI, Python, and SQL to unify financial, social media, and project-management data into a single analytics platform. Identified top-performing influencers and campaigns, increasing engagement rates and improving client ROI for brands including Hostinger, Minas Trend, and Supernosso.

Performed economic analyses in R to identify underserved areas for targeted government investment in education, internet access, and income. Developed the municipality’s first Power BI dashboards with Cloud SQL for real-time access and produced an action plan to support youth labor market integration.

Applied SARIMA time-series modeling to identify seasonal revenue trends and peak periods to inform resource planning and marketing strategy. Analyzed customer profitability versus volume growth and geographic client distribution, enabling a data-driven shift to improve income and retention.

Activities and societies: Key project: Monitoring of Adverse Events Following Newly Commercialized Drugs and Vaccines (healthcare statistics).

Earned a B.Sc. in Statistics at UFOP (2018–2023). Thesis focused on multi-objective strategy adaptation using particle swarm for network queue problems, with healthcare adverse-event monitoring as a key project.