AI-powered decision intelligence platform integrating forecasting, inventory optimization, Monte Carlo simulation, external risk signals, and executive recommendations.
PythonPyTorchLLM AgentsMonte Carlo SimulationOperations ResearchAWS
Data Scientist · Decision Intelligence · National Impact
Advancing Artificial Intelligence for Supply Chain Resilience, Decision Intelligence, and Resource Optimization
Data Scientist and Decision Intelligence professional with more than seven years of experience building AI, machine learning, forecasting, and optimization systems that strengthen agricultural supply chains, transportation networks, and natural-resource industries at national scale.
- Artificial Intelligence
- Decision Intelligence
- Supply Chain Analytics
- Research & Innovation
7+ yrs · AI & Analytics
Mario Renato Carrillo Cifuentes, M.S.
AI & Decision Intelligence Scientist
About
An interdisciplinary AI leader bridging research, engineering, and strategy
Mario operates at the intersection of artificial intelligence, machine learning, econometrics, forecasting, operations research, supply chain analytics, optimization, and decision intelligence — turning rigorous methods into systems that move national industries forward.
AI Scientist
Designing machine learning and generative AI systems that translate complex data into reliable, deployable intelligence.
Decision Intelligence Leader
Building decision-support platforms that combine forecasting, optimization, and simulation for executive decision-making.
Supply Chain Innovator
Modernizing agricultural, transportation, and natural-resource supply chains with measurable operational gains.
Researcher
Applying econometrics and statistical modeling to technology adoption and agricultural systems.
Entrepreneur
Founder of MT Carrillo AI Solutions, advancing AI for nationally important industries.
Education
M.S. Artificial Intelligence
University of St. Thomas · In Progress
M.S. Applied Economics
University of Minnesota · Graduate
B.S. Applied Economics
University of Minnesota · Undergraduate
B.S. Agricultural Engineering
Universidad Tecnológica Equinoccial, Ecuador · Undergraduate
National Priorities
Advancing U.S. National Priorities Through Applied AI
Mario's research and deployed systems contribute to the national interest across seven priority areas — each tied to documented, measurable outcomes in food, infrastructure, transportation, and economic security.
$1M+
Recurring monthly business value generated
18–20%
Forecast accuracy improvement
20%
Gain in transportation utilization
30%
Reduction in planning cycle times
Priority Area
USDA · Agricultural Stability
Food Security
Demand forecasting and inventory optimization applied across a major U.S. agricultural cooperative improve the availability and stability of food and farm inputs.
Probabilistic forecasting and multi-echelon inventory models reduce shortages and waste of perishable goods while protecting service levels.
18–20%
forecast accuracy gain at CHS Inc.
DHS · Economic Security
Supply Chain Resilience
Decision-intelligence platforms integrate forecasting, optimization, and Monte Carlo risk simulation to anticipate disruption before it reaches critical goods.
95%reduction in manual reporting effort
DOT · Logistics Capacity
Transportation Efficiency
Optimization and routing models raise asset utilization and reduce logistics waste across agricultural and natural-resource transportation networks.
20%improvement in transportation utilization
DOE · Resource Efficiency
Domestic Resource Optimization
Operations-research methods minimize the cost and waste of domestic resources from field to facility, improving how the nation uses what it produces.
30%reduction in planning cycle times
CISA · Infrastructure Protection
Critical Infrastructure Resilience
Risk-aware planning models help protect the agricultural and logistics infrastructure that U.S. communities and industries depend on.
Multi-tierrisk modeling across supply networks
NSF · National AI Strategy
Artificial Intelligence Innovation
Applied research and deployed systems in machine learning, generative AI agents, and decision intelligence advance practical, trustworthy AI for essential industries.
M.S. AIgraduate study with deployed AI systems
Dept. of Commerce · Productivity
Economic Competitiveness
Data-driven decision systems convert complex operations into measurable economic value, sharpening the competitiveness of U.S. industry.
$1M+recurring monthly value at CHS Inc.
Outcomes referenced above are drawn from documented professional engagements at Brave Resources Inc. and CHS Inc., peer-reviewed agricultural economics research, and deployed decision-intelligence systems — provided as supporting evidence of work in the U.S. national interest.
Featured Projects
Production AI systems with measurable national impact
Decision intelligence platforms that combine forecasting, optimization, simulation, and external risk signals to support resilient supply chains.
Enterprise platform delivering end-to-end visibility, scenario planning, and prescriptive analytics across complex multi-tier supply chains.
PythonSAP IBPSnowflakeOptimizationReact
AI system for modeling and optimizing the movement of people and resources across constrained transportation networks.
PythonReinforcement LearningGraph MLOptimization
Probabilistic forecasting and multi-echelon inventory optimization engine balancing service levels against holding cost.
PythonTime SeriesStatistical ModelingLinear Programming
Real-time churn risk scoring platform combining behavioral features, survival analysis, and explainable predictions.
PythonXGBoostSurvival AnalysisSHAPDataiku
Research & Scholarship
Peer-reviewed research in agricultural economics and applied AI
Rigorous, evidence-based scholarship grounding Mario's applied AI work in econometrics, statistical modeling, and agricultural systems.
Conference Presentation
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
Presented at AAEA Annual Meeting
EconometricsTechnology AdoptionStatistical Modeling
Applied Research
Effects of Winter Housing Systems on Production, Economics, Body Weight, BCS, and Bedding Cultures for Organic Dairy Cows
Presented at Research Collaboration
Applied ResearchAgricultural SystemsStatistical Modeling
Research ThemesEconometricsTechnology AdoptionStatistical ModelingAgricultural SystemsApplied Research
Collaborations
Academic & Professional Collaborations
A network of universities, industry organizations, and research leaders that connects rigorous scholarship with deployed, real-world systems across applied economics, agricultural systems, supply chain analytics, and artificial intelligence.
Academic Institution
University of Minnesota
Graduate study and applied research in economics, with econometric work on producer behavior, technology adoption, and organic dairy production systems.
Applied EconomicsAgricultural Systems ResearchEconometrics
Academic Institution
University of St. Thomas
Graduate research in artificial intelligence, applying machine learning and generative AI to real-world decision-support systems.
Artificial IntelligenceMachine LearningDecision Intelligence
Industry Organization
CHS Inc.
Collaborative analytics work across one of the largest U.S. agricultural cooperatives, translating forecasting and optimization research into operational practice.
Supply Chain AnalyticsForecastingOperations Research
Industry Organization
Brave Resources Inc.
Applied research-to-production partnership building decision-intelligence systems that unify forecasting, optimization, and risk simulation.
AI & Decision IntelligenceRisk SimulationSupply Chain Analytics
Advisors & Collaborators
Dr. Robert King
Faculty Advisor
University of Minnesota · Applied Economics
Agricultural economics, markets, and producer decision-making
Dr. Terry Hurley
Faculty Advisor
University of Minnesota · Applied Economics
Econometrics, risk, and technology adoption research
Graduate Research Advisor
University of St. Thomas · Artificial Intelligence
Machine learning & decision-support systems
Industry Research Partners
CHS Inc. & Brave Resources Inc.
Supply chain analytics & operations research translation
Professional Experience
A track record of measurable operational impact
Across natural resources, agriculture, and academia, Mario has delivered AI and analytics that generate durable, quantifiable value.
18–20%
Forecast accuracy improvement
20%
Transportation utilization gain
30%
Cycle time reduction
95%
Reporting effort reduced
$1M+
Recurring monthly business value
Brave Resources Inc.
Data Analyst · Geochemical & Exploration AnalyticsUnited StatesSep 2025 – Present
Develop AI-assisted analytics, forecasting, and decision-support systems integrating geochemical, geological, and exploration datasets to improve exploration efficiency and domestic resource optimization.
AI-assisted
Exploration analytics & predictive modeling
Automated
ETL pipelines and data validation frameworks
Resource
Domestic resource optimization focus
Responsibilities
- 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
Leadership Contributions
- Advance AI-assisted decision intelligence within strategically important resource industries
- Support technology-driven decision-making for engineering and leadership teams
Technologies & Methods
PythonSQLPredictive AnalyticsPower BIETL PipelinesScenario Analysis
Measurable, documented operational impact
Technical Expertise
A deep, modern AI and analytics toolkit
From foundational statistics to generative AI, Mario's expertise spans the full spectrum required to build trustworthy decision intelligence.
Artificial Intelligence95%
Machine Learning95%
Forecasting92%
Statistics90%
Operations Research88%
Optimization90%
Cloud Computing85%
Data Engineering84%
Decision Intelligence94%
Generative AI90%
Thought Leadership
View all articlesWriting on AI, decision intelligence, and supply chains
Perspectives on the methods and systems shaping the next generation of resilient, intelligent operations.
Résumé
Professional Résumé
A snapshot of the experience, education, and measurable impact behind seven-plus years of applied AI and decision intelligence work.
Professional Summary
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.
Core Competencies
- Artificial Intelligence & Machine Learning
- Decision Intelligence Systems
- Probabilistic Forecasting
- Operations Research & Optimization
- Generative AI & LLM Agents
- Statistics & Econometrics
- Supply Chain Analytics
- Cloud & Data Engineering
Education
M.S. Artificial Intelligence
University of St. Thomas · In Progress
M.S. Applied Economics
University of Minnesota · Graduate
B.S. Applied Economics
University of Minnesota · Undergraduate
B.S. Agricultural Engineering
Universidad Tecnológica Equinoccial, Ecuador · Undergraduate
Mario Renato Carrillo Cifuentes
Full résumé · PDF
Career Highlights
$1M+
Recurring monthly business value generated at CHS Inc.
18–20%
Forecast accuracy improvement across enterprise operations
20%
Improvement in transportation utilization
30%
Reduction in planning cycle times
95%
Reduction in manual reporting effort through automation
AAEA
Peer-reviewed research presented at a national conference
Entrepreneurship & Innovation
MT Carrillo AI Solutions LLC
Applied AI & Decision Intelligence Lab — Founder
Research, innovation, and deployment of AI-driven decision intelligence technologies supporting nationally important industries.
Applied AI ResearchGenerative AI AgentsForecasting & OptimizationRisk SimulationProduction Deployment
AI Product Development
Designing and shipping production-grade AI products that turn complex operational data into reliable, decision-ready intelligence.
Research Commercialization
Translating peer-reviewed research in forecasting, optimization, and econometrics into deployable commercial systems.
Supply Chain Innovation
Building resilient, risk-aware supply chain models that anticipate disruption and keep critical goods moving at national scale.
Decision Intelligence Systems
Unifying machine learning, simulation, and generative AI agents into accountable, explainable executive decision platforms.
Consulting & Advisory
Advising leadership teams on AI strategy, data infrastructure, and the practical deployment of decision-intelligence capabilities.
Mission
Advancing trustworthy, deployable AI that strengthens the industries critical to national resilience and competitiveness.
Awards & Certifications
Credentials & professional development
Continuous investment in cloud, AI, and engineering best practices.
AWS Technical Essentials
Amazon Web Services
AWS AI Practitioner
Amazon Web Services
SAP IBP
SAP
Dataiku ML Practitioner
Dataiku
Unit Testing & TDD
Professional Development
Contact
Let's build intelligent, resilient systems together
Open to collaborations, research partnerships, speaking engagements, consulting opportunities, and strategic AI initiatives.