A data-oriented, multidisciplinary professional with a background in Chemical Engineering and specialization in Artificial Intelligence and Computational Intelligence, underpinned by a strong foundation in mathematical and computational principles. With nearly three years of experience in the data field, this professional has engaged in diverse sectors such as Business Intelligence, AI software development, and specialized consulting, focusing on the development of predictive models. The primary objective is to enhance process and product development through the implementation of data-driven solutions, leveraging extensive experience to deliver significant value to organizations.

Specialization in Artificial and Computational Intelligence

 at Federal University of Viçosa/ UFV
2023 - 2023

 at State University of Maringá / UEM
2016 - 2020


10/1/2022 - Present

Developed predictive models for agribusiness using Decision Tree and Logistic Regression techniques, extending capabilities in end-to-end model development. Worked closely with the data engineering team to ensure seamless deployment of these models. Automated the monitoring of model performance in production and the distribution of analytical reports. Conducted a variety of adhoc analyses, including exploratory, bivariate, and control group assessments. Played a key role in the construction of ETL pipelines.

Internally, built data migration scripts between databases utilizing Python, enhancing data consistency and integrity. Created a Python module for automating the identification of drift between production model variables and another module focused on automating exploratory and bivariate analysis tasks. These efforts significantly improved workflow efficiency and accuracy in project deliverables. Developed numerous automation solutions to streamline various internal processes.


1/1/2022 - 8/1/2022

Contributed to developing geostatistical software for the iron ore prospecting industry. Optimized predictive models utilizing XGBoost, Random Forest, and Neural Networks to enhance mineral prospecting accuracy. Constructed and managed the drive pipeline, facilitating efficient model deployment. Designed and implemented graphical outputs for front-end visualization. Engineered a robust PostgreSQL database, ensuring seamless data storage and retrieval. Developed R6 classes for streamlined access control and database queries. Integrated backend functionalities with the Shiny-App front-end, promoting cohesive system performance.


9/1/2021 - 1/1/2022

Executed automation of analyses and reports by migrating from Excel and VBA to Python, significantly improving processing efficiency and accuracy. Undertook ETL data processes to streamline and ensure seamless data integration. Created rich, interactive dashboards for enhanced data visualization, facilitating deeper insights into business metrics. Demonstrated proficiency in data modeling techniques to generate precise and actionable analysis. Monitored financial KPIs to drive performance and strategic decisions. Gathered critical information to support data-driven decision-making across various business sectors. Facilitated meetings and actively contributed to the decision-making process, harnessing data to guide business strategies. Developed expertise with Python and data visualization tools and platforms, fine-tuning both technical and analytical skills.

Howdy Candidates

Work experience

Education