Experience
Robbyson Systems
Mid-Level Data Scientist (May/2024 - present)
- Designed proof of concept applications leveraged by LLMs for information summarizaiton in textual, video and audio formats.
- Designed and implemented a Python package for data analysis on GitLab repositories data to assess efficiency and development cost.
- Analyzed data from behavioral projection algorithms in order to ensure quality and consistency.
Big Data S/A
Junior Data Scientist (Oct/2022 - Mar/2024)
As a Junior Data Scientist, I transitioned to the Forecast and Product Operations divisions, where I developed and maintained Machine Learning-centered pipelines.
- Contributed to the development of a recommendation system for a market-leading company in the civil construction sector.
- Idealized and implemented a quality assurance framework responsible for automating artifacts validation processes.
- Contributed to codebases with new features, code reviews, maintenance, refactoring and testing using the GitLab ecossystem.
- Conducted and presented data analyses regarding both client data and deliverables.
- Orchestrated ETL and Machine Learning pipelines with Apache Airflow.
Data Science Intern (Jan/2022 - Sep/2022)
Developed a price-elasticity modeling approach through Panel Data Regression and Supervised Machine Learning for products of a market-leading company in the civil construction sector using Python statsmodels
and pandas
. This technique was applied to models in production to incorporate the behavior of market price dynamics and adjust item recommendations.
FAPESP - Fundação de Amparo à Pesquisa do Estado de São Paulo
Researcher in Applied Machine Learning (Sep/2020 - Sep/2021)
As a FAPESP researcher, I developed under the guidance of Prof. Renato Fernandes Cantão, a scientific initiation project focused on Machine Learning applications in the context of photovoltaic solar energy. During this project, machine learning-based modeling strategies were developed and implemented to predict solar radiation in locations in the State of São Paulo, Brazil.
Check out the project page for more information.