I am Tomás Rau, an economist specialized in Business Intelligence, financial analytics and strategic technology. I design analytical architectures, executive reporting systems and quantitative models that help organizations turn complex information into better business decisions.
Ingesting financial and operational sources into a unified warehouse...
✔ [PIPELINE VALIDATED] - Executive reporting layer ready.
Testing assumptions across rates, margins, cash flow and market signals...
✔ [MODEL LOADED] - Sensitivity analysis complete.
Converting quantitative signals into executive recommendations...
✦ [INSIGHT GENERATED] - Strategic allocation path identified.
Economic reasoning, BI architecture, advanced financial analytics and structured decision-making come together to transform complex data into operational clarity and competitive advantage.
Experience in executive reporting, automation, data modeling and advanced visualization.
Market, indicator, scenario and evaluation analysis for financial decisions.
Digital solution design, transformation processes and data-driven decision systems.
Translation of complex data into narratives, models and actionable recommendations.
My work is built at the intersection of economic thinking, Business Intelligence and financial analysis. The objective is not simply to produce dashboards, but to create analytical systems that explain performance, risk and opportunity with executive clarity.
This perspective connects market intelligence, data architecture and strategic technology into a single decision layer. It helps teams align technical implementation with financial priorities and business outcomes.
The result is a practical bridge between technical teams and decision makers: models, reporting structures and data products designed to support concrete decisions under uncertainty.
Methodological rigor for interpreting incentives, market dynamics, financial tradeoffs and growth constraints.
Data models, semantic layers and executive reporting systems designed to reduce fragmentation and improve trust.
Translation of quantitative signals into practical options, priorities and decision criteria for leadership teams.
Selected analytical initiatives where financial thinking and data architecture create operational clarity and measurable strategic value.
Business Intelligence infrastructure redesign, integrating transactional sources and relational databases into a unified analytical layer.
Executive reporting automation and improved consistency across portfolio performance indicators.
Research and backtesting of quantitative trading models based on macro variables, spreads and execution signals.
Scenario simulation with drawdown control and API-based execution criteria.
Executive control dashboards focused on unit economics, cash flow projections and pricing intelligence.
Margin visibility by project and stronger commercial decision-making around key contracts.
Modular data modeling and BI consulting for SMEs, connecting local databases and ERP systems with modern analytical tools.
Reduced dependency on manual analysis for daily operational and inventory decisions.
A structured path combining economic methodology with modern BI platforms, financial analytics and strategic data products.
A rigorous foundation in macroeconomics, econometrics and quantitative models for understanding markets, incentives and business dynamics.
Practical specialization in data modeling, ETL automation, analytical warehouses and executive reporting for corporate teams.
Application of financial analysis and quantitative criteria to scenarios, portfolios, valuation logic and operating cash flow decisions.
Design of digital platforms that centralize business information and turn predictive analytics into management systems.
Available for specialized consulting, Business Intelligence initiatives, financial modeling and analytical platform design. Reach out through direct professional channels to coordinate an initial discussion.
End-to-end advisory for custom analytical models, BI pipeline assessment and corporate financial optimization.
Co-design of digital platforms, strategic data initiatives and executive collaboration around finance and analytics.
Talks and panels on economics, corporate data value, advanced reporting architecture and technology-led decision-making.
