BUSINESS INTELLIGENCE CONSULTANT
Independent consultant in Business Intelligence and applied AI · Santiago, Chile.

I'm Francisco Santelices, an Industrial Civil Engineer from Universidad Diego Portales, with over 7 years building Business Intelligence solutions in retail and commercial environments.
My work goes beyond dashboards. What drives me is building tools people actually use — reports that sit on a manager's screen every morning, models that surface fraud before it costs money, and systems that make data feel less like a spreadsheet and more like a decision.
I've worked across retail chains with 600+ locations, financial regulatory environments, and multinational operations — always focused on turning complexity into clarity. Today I integrate AI agents into analytical workflows to push that clarity even further.


Power BI reports connected to real data. Leadership sees the business in real time, no spreadsheets.
Identify deviation, fraud and inefficiency patterns. Proven across 600+ locations.
SQL, Python and Excel models automating repetitive analysis and generating actionable indicators.
Develop and integrate AI agents into analytical and operational processes, boosting decision quality.
Translate complex analysis into clear language for executive, commercial and operational teams.
Incentive models and KPIs aligned with real business outcomes through data and AI.




Real projects developed for companies across different industries and countries.
Solución Power BI end-to-end con ETL en Power Query, modelamiento en estrella y capa semántica DAX. Mide throughput operacional (pedidos/hora), tasa de cumplimiento de entregas, evolución de ganancia vs período anterior (AA) y rentabilidad por SKU de categoría. Publicado en Power BI Service con RLS por sucursal.
Sistema de BI con modelo relacional de alta cardinalidad (800+ clientes, 12+ estados). Implementa medidas de inteligencia de tiempo con DATEADD y CALCULATE para comparativos período actual vs LY. Incluye visualizaciones geoespaciales con Bing Maps, tooltips enriquecidos y drill-through entre módulos. Segmentación de clientes por status y clasificación Class-A/Class-B con lógica DAX condicional.
Snowflake schema adapted for 5-country operations. Country → Customer Type → Product drill-down hierarchy. Calculated measures for marginal contribution per SKU, ROI by market and discount elasticity. Responsive Mobile/Desktop layouts via bookmarks.
Star schema operational dashboard (sales facts + store, salesperson, product, date dimensions). DAX measures for market share by branch, category rotation speed and salesperson benchmark vs team average. Conditional treemap and geographic map of Colombia.
