Welcome to my CV Page

Economist (econometrics) and Data Scientist

Author
Affiliation

Rodrigo Hermont Ozon

Pontifical Catholic University of Parana (PUCPR)

Updated

April 17, 2025

Academics

Highlights

2022 to 2027 (expected)

PhD Candidate – Systems & Industrial Eng.

Research in applied time series analysis, Financial Econometrics, Bayesian Econometrics, Portfolio Multiobjective Optimization, and Modelling Extremal Events.

Visit our research project at PIBIC AgroFinance Page

2011

MSc. in Economic Development

Course completed at UFPR with an emphasis on big data, multivariate analysis, and econometrics. Thesis available at acervodigital.ufpr.br.

See the post on IBQP/Sebrae at this link.

2007

Bachelor Degree in Economics

Undergraduate studies at UFPR, with a thesis honored and transformed into a research project at the UFPR Laboratory of Statistics and GeoInformation. View it at leg.ufpr.br.

Learn more about the undergraduate course at UFPR here.

\(\Rightarrow\) See the complete academic CV in Curriculum Lattes (pt br) Platform

Ozon, R., H. (2024). Evaluation Declaration for SEMIC/SEMITI. In XXXI Scientific Initiation Seminar at PUCPR.
Link

Ozon, R., H. (2024–2025). Scientific Initiation Advisorship (PUCPR).
Link

Ozon, R., H., Reynoso-Meza, G. (2024). Comparative Analysis of Fuzzy Regression Models and Multicriteria Decision-Making for Commodity Market Forecasting Scenarios. In SBPO.
[Material: paper_6925.pdf]

Ozon, R., H., Reynoso-Meza, G. (2024). Predictive Maintenance Strategies in Agriculture Using Survival Analysis. In SBA. [Material: galoa-proceedings–sbpo-2024–193764.pdf]

Ozon, R., H., Reynoso-Meza, G. (2024). Efficiency and Efficacy Comparison between NSGA-II and Differential Evolution in Multi-Objective Portfolio Optimization. In ICPR Americas 2024 (Ohio University). [Material: Optimization__Paper_ID.pdf]

Ozon, R., H., (2024). Integrating GAMLSS and Bayesian MSGARCH Models for Enhanced Forecasting of Commodity Price Returns: A Novel Approach in Financial Econometrics. In 1st SouthStat Meeting (UFPR). [Material: _poster Rodrigo Hermont Ozon.pdf]

Ozon, R., H. (2023). The Use of Time Series Disaggregation with the tempdisagg Package in Econometric Models. In R Day (UFPR). [Material: _Presentation__Desagragação_de_Séries_Temporais_R_Day]

Ozon, R., H., Reynoso-Meza, G. (2023). Portfolio Optimization with GARCH Models Using Multiple Time Windows for Pareto Frontiers. In APREPRO. Link

Ozon, R., Viana, R. (2024). Impact of Sentiment Analysis on the Volatility and Structural Breaks in Agricultural Commodity Prices. In See the publishing plan for this paper in this presentation

Ozon, R. (2024). Ablation Study of a CNN+LSTM Architecture for Time Series Forecasting of Corn Price Returns.

Ozon, R., Guedes, R. (2024). Blending Forecasting Models for Commodities Portfolio Optimization.

Ozon, R. (2024). Impact of the Russia-Ukraine War on Corn Prices, Returns, and Volatility: A Quasi-Experimental Approach.

Ozon, R., Guedes da Silva, R. T. (2024). A Commodities Portfolio Optimization Model Recommendation: Blending Time Series Forecasting Models in Pareto Front Scenarios.

Ozon, R., de Lima, J. D., Dranka, G. (2024). Enhancing Grain Portfolio Risk Management with GAMLSS and MSGARCH. Avaiable in https://doity.com.br/anais/24ebfin/area/36699

Ozon, R., Reynoso-Meza, G. (2024). Improving Risk Management in Grain Portfolios: The Role of GAMLSS and Bayesian MSGARCH Models.

Ozon, R., Reynoso-Meza, G. (2023). Econometric Prices Forecasting Approach and Multiobjective Optimization for Commodity Portfolio Decision-Making.

ETL and ELT in Python
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Current Issues and Emerging Trends in Industrial & Systems Engineering
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Optimizing Network Parameters
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Introduction to ChatGPT
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Zero to GPT Path
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Quantitative Risk Management in R
📜 View certificate
Feature Engineering with PySpark
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Machine Learning with PySpark
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Data-Driven Decision Making for Business
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Decoding Decision Modeling
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Software Engineering Principles in Python
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Introduction to Databricks
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Jan 2025 – Present

Undergraduate Professor

FAE Business School – Curitiba, PR

Teaching undergraduate courses in Data Science for Business and Financial Markets at FAE University. Responsibilities include:

  • Big Data for Finance Project – Applying data science to financial decisions.
  • Computational Programming – Fundamentals and analytics.
  • Risk Management – Quantitative methods and tools.

Jan – Dec 2011

Undergraduate Professor

FESP/PR – Curitiba, PR

Taught the Project Integration course in the Graduate Program in Project Management, based on PMBOK practices.

Jan 2009 – Dec 2011

Undergraduate Professor

INESUL – Araucária, PR

Taught Financial Mathematics, Financial Management, SPC, Business Informatics, and Industry Performance Indicators. Coordinated Research and Graduate Studies from 07/2009 to 03/2010.

Jan 2009 – Dec 2010

Undergraduate Professor

Positivo University – Curitiba, PR

Taught Financial Markets, Monetary and Financial Economics, and Quantitative Methods for Business students.

Aug 2024

Postgraduate Professor

ESIC International – Curitiba, PR

Taught a 12-hour module on Investments in the Executive MBA. Topics: evaluation criteria, risk, inflation impact, fiscal environment, strategic investments.

Professional Exp.

Jan 2025 – Apr 2025

Data Engineer Professional

Volvo Group Digital & IT – Curitiba, PR

I work as a data engineer/scientist, integrating agile teams to create digital solutions focused on delivering business value. My responsibilities include:

  • Collaborating with data scientists to implement advanced analytics and AI solutions;
  • Mining and analyzing data to optimize product development, sales, and business strategies;
  • Developing custom algorithms and predictive models;
  • Managing cloud-based data systems (Azure, ADF, ADB);
  • Utilizing SQL, Python, and PySpark to build data pipelines;
  • Implementing MLOps practices and monitoring model performance.
Oct 2024 – Dec 2024

Data Scientist Area Coordinator

LABPR – Curitiba, PR

I coordinate operations at LAB.PR, a laboratory focused on public intelligence and data science. LAB.PR's core areas include: data science and artificial intelligence, plain language use and public document redesign, systems integration for high-precision public policies, technology skills development programs, and institutional partnerships. Under my leadership, the lab aims to transform state public management through the application of advanced technologies and data governance methodologies, promoting transparency and efficiency in public administration.

Apr 2023 – Sep 2024

Data Science Consultant

CNH Industrial – Curitiba, PR (Remote)

- Build and train ML and AI models;
- Manipulation of complex and heterogeneous data: cleaning and sanitizing, deduplication, and dataset construction;
- Programming languages used in AI: Python, Scala, R (desirable);
- AI libraries: TensorFlow, Caffe, Keras, Torch, etc.;
- Use of knowledge in algorithms, statistics, regression models, decision trees, neural networks, etc.;
- Experience with time series, image processing, and other complex data types;
- Data Lake (Hadoop ecosystem, Spark, Kafka, etc.);
- Microsoft Azure Cloud

May 2021 – Mar 2023

Senior Data Scientist

BRF – Curitiba, PR

I managed Business Intelligence (BI) & Analytics products and support solutions. My key responsibilities included:

  • Generating dashboards and reports required by business units and ensuring process sustainability through technology integration;
  • Conducting tests to ensure consistency and accuracy of information;
  • Maintaining and updating BI tools and databases, including data modeling and management of multiple data sources;
  • Providing technical support for existing reports, dashboards, and analytics tools;
  • Creating and maintaining technical documentation for future development needs;
  • Processing approx. 700 economic time series to develop a predictive pricing model for corn (CBOT and B3);
  • Developing a Bayesian multicausal model to forecast drivers affecting price fluctuations, backed by microeconometric literature.
May 2021 – Jul 2021

Researcher / Consultant

UNDP Brazil – Curitiba, PR

Worked on economic research, data collection and extraction from official public secondary sources via APIs, and developed automation scripts. Designed a workflow and systematization of primary data gathered by project researchers. Created dashboards with socio-economic indicators for the UNDP BRA/18/024 project "Strengthening the guarantee of the right to life and reducing violence against children and adolescents in Brazil."

Contributed to the development of a prioritization plan proposal for neighborhoods/regions with the most critical crime and violence indicators, supporting proposed actions and policies directed to the UNDP/UN, in pursuit of future equal opportunity.

Jan 2021 – Mar 2021

Sr. BI Analyst (Data Scientist)

Tecnofit – Curitiba, PR

I was responsible for implementing data-driven culture and analytics projects across the company. My responsibilities included:

  • Conducting market research in the fitness sector (local, national, and global) with share, acquisition, and future demand potential analysis.
  • Mapping information and data flows across all company departments.
  • Building analytical dashboards aligned with company OKRs and presenting solutions to senior management.

Main deliveries:

  • SEO automation scripts using market fitness keywords to detect trends.
  • Automated data extraction from Hubspot CRM API and additional dataframes.
  • Company potential analysis using Google Places API (active/inactive due to COVID-19 regulations).
  • Market share and trends analysis using CAGED and RAIS datasets.
  • Routine data extractions from databases for indicators and raw metrics.
  • Development of a governance documentation model (data dictionary, workflows, and task descriptions).
  • Ad-hoc analysis for marketing and sales teams.
Oct 2020 – Dec 2020

Sr. Data Scientist

Deal – Curitiba, PR

Served as an exclusive consultant on the Market Intelligence and Pricing implementation project for Rumo Logística. My work included validating deliverables from two international consultancies, running price optimization and machine learning model tests, and auditing data pipelines and warehouse structures.

Main contributions:

  • Generated analytical and strategic documentation on Confluence;
  • Mapped data flows including collection processes, interpretation logic, and integration with external data APIs;
  • Performed PostgreSQL data quality audits, highlighting gaps impacting model reliability;
  • Proposed and documented automation pipelines with ETL scripts pushing .csv files to AWS S3 via APIs;
  • Created a real-time delivery tracking system using BitBucket linked to customer demand;
  • Produced reproducible, dynamic RMarkdown documents for all delivered solutions and data workflows.
Nov 2019 – Oct 2020

Freelance Data Scientist

Upwork.com – Remote

I worked remotely as a freelancer on specific on-demand projects, focusing on data science, econometrics, and scientific document editing using LaTeX with R.

Feb 2020 – Mar 2020

Market Intelligence Analyst

ALCAST DO BRASIL S/A – Curitiba Area, Brazil

Responsible for market mapping, segmentation, and business risk/opportunity assessment. My work contributed to the early implementation of data-driven competitive intelligence within the company.

Main contributions:

  • Collaborated across marketing, market, and commercial departments to establish a market intelligence strategy;
  • Proposed transitioning from spreadsheet models to real-time dashboards using RMarkdown and Microsoft Power BI;
  • Monitored and supported consulting initiatives led by Fundação Dom Cabral for strategic implementation of market intelligence.
Oct 2019 – Nov 2019

Business Intelligence Consultant

Kie-Teckie-Tec – Curitiba Area, Brazil

Worked on requirements gathering, predictive modeling proposals, and advanced data analysis. Delivered solutions aimed at improving decision-making through structured data insights and analytical modeling.

May 2019 – Oct 2019

Sr. Statistics Analyst

Grupo Bitcoin Banco – Curitiba Area, Brazil

Led the systematization of quantifiable and statistically measurable information to support econometric modeling across all departments of the bank.

Main contributions:

  • Engaged with every department to gather requirements for integrated KPIs and modeling frameworks;
  • Established routines for database updates aligned with Brazil’s General Data Protection Law (LGPD);
  • Implemented real-time business intelligence systems for data visualization and big data analytics;
  • Supported executive decision-making with robust statistical reports and insights.
Oct 2012 – Nov 2018

Mid-Level Economic Analyst

FIEP – Curitiba, Paraná

Provided economic analysis and strategic consulting for major business unions in Paraná, guiding collective bargaining negotiations and industrial policy recommendations.

Main contributions:

  • Advised union partners on productive chain analytics and economic indicators;
  • Developed economic data visualizations using Power BI to improve data workflows;
  • Created and maintained an economic blog using Tableau Public for regional insights: fiepdesenvolvimento.blogspot.com;
  • Reviewed and evaluated innovation project proposals under SENAI/SESI public notices;
  • Secured R$ 300,000 in sponsorships for the Moveleiro Congress.
Feb 2008 – Oct 2018

Judicial Labor Expert

Unidade Judiciária Avançada – Porto União da Vitória, PR

Appointed by labor courts as a judicial expert, responsible for preparing calculation reports and performing technical economic evaluations for the settlement of labor lawsuits.

Oct 2008 – Oct 2013

Economist / Project Coordinator

IBQP – Curitiba Area, Brazil

Served as a researcher in studies on productive chains, innovation initiatives, and economic consulting at the Brazilian Institute for Quality and Productivity (IBQP).

Main contributions:

  • Coordinated innovation-related projects for various business institutions and supported technical proposal development;
  • Led resource acquisition strategies and project monitoring in the field of technological innovation;
  • Acted as a columnist for the business section of O Dia newspaper (Rio de Janeiro), under the column "Sucesso nos Negócios";
  • Coordinated the Municipal Development Index of Micro and Small Enterprises project for SEBRAE in partnership with researchers from the Graduate Program in Economic Development at UFPR;
  • The project aimed to provide diagnostics and monitoring of the institutional and economic development environment of municipalities, using a synthetic indicator to support local development based on micro and small enterprises, aligned with Brazil’s General Law for MSEs.

Knowledge Levels and Expertise in Programming Languages

Citation

BibTeX citation:
@online{hermont_ozon,
  author = {Hermont Ozon, Rodrigo},
  title = {Rodrigo {Hermont} {Ozon} -\/- {Curriculum} {Vitae}},
  date = {},
  url = {https://rhozon.github.io/portcv/cv.html},
  langid = {en}
}
For attribution, please cite this work as:
Hermont Ozon, Rodrigo. n.d. “Rodrigo Hermont Ozon -- Curriculum Vitae.” https://rhozon.github.io/portcv/cv.html.