Mario Renato Carrillo Cifuentes, M.S.

Data Scientist and Decision Intelligence professional with more than seven years of experience designing AI, machine learning, forecasting, and optimization systems for agricultural supply chains, transportation networks, and natural-resource industries. Combines rigorous applied economics and operations research with production-grade deployment to deliver measurable, nationally significant business outcomes.

1. Data Analyst · Geochemical & Exploration Analytics

   Sep 2025 – Present

   Brave Resources Inc. · United States

   Develop AI-assisted analytics, forecasting, and decision-support systems integrating geochemical, geological, and exploration datasets to improve exploration efficiency and domestic resource optimization.

   • Apply statistical modeling, econometric methods, predictive analytics, and scenario analysis to improve exploration efficiency and resource optimization
   • Design automated ETL pipelines and data validation frameworks in Python and SQL for analytical reliability
   • Build Power BI and executive dashboards supporting decisions for geologists, engineers, and leadership teams
   PythonSQLPredictive AnalyticsPower BIETL PipelinesScenario Analysis

2. Senior Data Scientist · Decision Intelligence Lead

   Jul 2019 – Sep 2025

   CHS Inc. · Inver Grove Heights, MN

   Progressed across data science and decision-intelligence roles at one of the largest U.S. agricultural cooperatives, leading machine learning, forecasting, and optimization that drove measurable enterprise value.

   • Led machine learning, forecasting, and optimization solutions for agricultural supply chain planning
   • Built transportation optimization frameworks improving shuttle utilization ~20% and reducing cycle times ~30%
   • Automated analytical workflows, reducing manual reporting effort by ~95%, and defined enterprise KPI governance
   PythonMachine LearningSAP IBPTime-Series ForecastingOperations ResearchSQL

3. Graduate Research Assistant · Applied Economics

   2014 – 2019

   University of Minnesota · Minneapolis, MN

   Conducted econometric and applied-economics research under Professors Robert King and Terry Hurley, presenting findings at national academic venues.

   • Conducted econometric analysis, forecasting, and statistical modeling using STATA, R, Python, and Excel
   • Researched technology adoption and structural change in the U.S. hog industry with multi-equation regression and PCA
   • Contributed to peer-reviewed agricultural economics and organic dairy production research
   STATARPythonEconometricsMulti-Equation RegressionPCA

1. Conference Presentation2019 · Presented

   Characteristics of Hog Producers and How Those Characteristics Affect the Rate of Adoption of Technologies Used in the Hog Industry: Evidence from Hog Producers in the United States

   Carrillo Cifuentes, M. R., et al.

   Agricultural & Applied Economics Association (AAEA) Annual Meeting

2. Applied Research Study2018 · Completed

   Effects of Winter Housing Systems on Production, Economics, Body Weight, BCS, and Bedding Cultures for Organic Dairy Cows

   Research collaboration, University of Minnesota

   Applied Agricultural Systems Research