Mauricio Martins

At AIG, led Power BI/Qlik restructuring, reducing validation time by 1 day and manual checks by 85%. Supported Power BI/AWS migration, cutting costs by 50%. Built automated ETL pipelines using SQL/Python, integrating on-premise and cloud sources. Collaborated with Actuarial/Claims teams to standardize metrics and dashboards, improving accuracy and stakeholder confidence across all levels.

At J&J, coordinated strategic Power BI dashboards, boosting adoption among commercial teams. Structured KPIs and complex DAX indicators (gauges, waterfall) to support growth. Implemented advanced filtering and data model optimizations, enhancing interactivity and speed. Collaborated with stakeholders to prioritize revenue metrics and normalized tables via Power Query, ensuring data quality.

At Honda, designed Power BI financial dashboards, cutting dealership analysis time by 50%. Automated ETL via Power Query/Redshift, reducing manual workload by 200 hours. Developed complex DAX measures and SQL-based ETL routines to monitor financial scenarios. Optimized data models for scalability and ensured 99.5% data consistency, improving granularity and reliability for senior management.

At Bacio di Latte, led revenue reconciliation, preventing R$1M monthly inconsistencies. Automated ingestion via Python scripts and APIs for real-time retail sales. Migrated Power BI to Looker with 100% data integrity, reducing report time by 6 days. Mapped requirements for data governance, increasing accuracy by 40% through cross-validation and standardized database management for audits.

At RD Saúde, led indicators that supported 320% revenue growth and monitored 950k monthly orders. Automated Power BI/Alteryx ETL, reducing report time by 75% and operational failures to near real-time. Built dimensional models and interactive DAX/SQL dashboards for logistics and sales. Coordinated SLA metrics, reducing customer service calls by 0.3% through automated monitoring and team training.

Activities and societies: Specialization in data modeling, data transformation, data simulation, programming logic, and process optimization.

Completed a Master of Science in Mechanical Engineering with coursework and projects focused on data modeling, data transformation, simulation, programming logic, and process optimization.

Activities and societies: Specialization in data modeling, data transformation, data simulation, programming logic, and linear algebra.

Earned a Bachelor of Science in Control and Automation Engineering with emphasis on data modeling, transformation, simulation, programming logic, and linear algebra.