Andre S.

Babel Group is a leading international consultancy specializing in digital transformation and advanced data solutions for large-scale government and public service institutions.

• Architected and implemented a production-grade Lakehouse on Databricks for ESNA (European Startup Nations Alliance), using the Medallion architecture to centralize startup ecosystem data across Europe
• Established CI/CD pipelines with Databricks Asset Bundles, enabling automated, reliable, and version-controlled data infrastructure deployments
• Defined and implemented a data governance framework, enforcing data quality, lineage tracking, and documentation standards for auditable operations
• Centralized fragmented data sources into high-performance analytical dashboards, enabling cross-country strategic reporting and ecosystem visibility
• Designed scalable data ingestion and transformation pipelines, improving data reliability and supporting long-term platform growth

XP Inc. is a leading Brazilian financial services platform and one of the largest investment institutions in Latin America, driven by technology and data-led innovation.

• Architected scalable data pipelines and data models using Databricks, Delta Lake, and Apache Spark, providing the FP&A team with real-time SG&A cost visibility and eliminating manual reporting
• Defined and implemented data governance standards, establishing modeling best practices and data quality controls to ensure trusted analytics
• Developed lead scoring and agent segmentation models, improving conversion rates and enabling personalized financial services at scale
• Automated reporting workflows using Python and SQL Server, reducing manual effort and delivering executive Power BI dashboards
• Integrated complex financial data using Azure Data Factory (ADF), creating a single source of truth for critical business KPIs

Itaú Unibanco is the largest financial institution in Latin America, recognized for its advanced data-driven culture and leadership in digital banking and financial technology.

• Contributed to the development of an XGBoost regression model in Python to optimize vehicle advertisement pricing, increasing user engagement on the platform
• Engineered data preparation pipelines, validating and cleaning data from SQL and NoSQL sources to ensure high-quality inputs for machine learning models
• Implemented data validation routines that improved data consistency, integrity, and the reliability of machine learning pipelines
• Collaborated with senior data scientists to transform banking and marketplace data into actionable insights for the automotive business unit

GO Associados is a premier Brazilian economic consultancy providing strategic intelligence, macroeconomic analysis, and market forecasting for top-tier financial institutions and corporate clients.

• Managed macroeconomic reporting, tracking key indicators across industries, commodities, financial markets, agriculture, and services to support client decision-making
• Maintained a high-quality economic database, ensuring the accuracy of daily updates for key indicators, including inflation (IPCA/IGP-M) and interest rates (SELIC)
• Analyzed market trends and sector performance, providing data-driven insights for strategic reports and economic forecasts
• Streamlined data collection processes, improving the efficiency of daily updates across complex economic datasets

Danone is a world-leading food and beverage company, dedicated to bringing health through food to as many people as possible through its market-leading brands and data-driven commercial strategies.

• Produced strategic sales reports to track regional manager performance, providing the commercial team with actionable insights to hit monthly and annual targets.

• Streamlined customer and supplier management, overseeing registration and control processes to ensure operational efficiency within the supply chain.

• Analyzed commercial KPIs, identifying trends in sales performance and supporting the business unit with data-backed recommendations for market growth.

• Maintained high-integrity sales databases, ensuring that the information used for executive decision-making was accurate and up to date.