Rodrigo Hermont Ozon
Econometrician · The original data science

Rodrigo Hermont Ozon

Data Scientist at Unimed do Estado do Paraná, PhD researcher in Industrial & Systems Engineering (PUCPR), founder of OQuant consulting and former professor at FAE Business School (2025–2026). Fifteen years applying GARCH-family models, Bayesian econometrics, multi-objective optimization and, more recently, multi-agent AI systems to problems in healthcare, agribusiness and industry.

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15+Years in data
20+Organizations served
15+Papers & talks
6Institutions taught at
What I do

Four fronts, one discipline

Econometrics & Forecasting

Time series, Bayesian methods, GARCH-family volatility models, causal inference and multi-objective portfolio optimization — applied to commodities, healthcare and industry.

Data Science & AI

Machine learning, MLOps and Generative AI: internal chatbots, multi-agent orchestration and AI-assisted decision-making in production environments.

Consulting (OQuant)

Founder & principal consultant. Projects for Grupo Fleury, Aurora Alimentos and Cogna Educacional in forecasting, risk analytics and decision support.

Teaching & Research

Taught Data Science for Business and Financial Markets at FAE (2025–2026). PhD researcher at PUCPR. Reviewer for Applied Soft Computing and PRINCIPIA.

Trajectory

Where I’ve made an impact

Unimed OQuant Volvo CNH Industrial BRF PNUD FAE PUCPR

See full experience

Latest highlights

Recent work & recognition

2026 — Data Scientist at Unimed do Estado do Paraná: healthcare analytics and Generative AI (chatbots, multi-agent orchestration). Curitiba, PR
2024 — Comparative Analysis of Fuzzy Regression Models and Multicriteria Decision-Making for Commodity Market Forecasting Scenarios. LVI SBPO, Fortaleza
2024 — Predictive Maintenance Strategies in Agriculture Using Survival Analysis. XXV Congresso Brasileiro de Automática
2024 — PhD Finalist. XI ENPPEPRO — National Meeting of Industrial Engineering Graduate Programs

All research