About Me

Engineering student at CentraleSupélec, France. Final year specialization in Artificial Intelligence.

I have experience in data science and analytics, including descriptive statistics, supervised and unsupervised machine learning models, as well as knowledge of tools and languages such as SQL, Python, C/C++, and Power BI. I enjoy applying these skills to solve problems and work with data-driven solutions.

Experience

FlexSim

Data Scientist Intern - February 2023 - April 2023

Conducted an analysis of possible no-code Machine Learning frameworks, which resulted in RapidMiner being identified as the best viable option due to its ease of use and available features. Instructed the ML engineers of the company on how to use this tool, and the tool adoption resulted in a 30% reduction in the number of tickets the department receives quarter-over-quarter
Automated data import in the software, enabling the team to use the software without crashes when handling large datasets, by integrating SQL queries with simulation models using C++.

SQL Machine Learning C++

Eldorado Institute

Data Scientist Intern - February 2022 - September 2022

Implemented data pre-processing routines and tested machine learning models to detect faults in mobile phone batteries.
Improved fault detection precision to 73% by reducing false positives, optimizing analysts’ time and resources by 27% through the use of Python and interpretable machine learning techniques, such as SHAP (SHapley Additive exPlanations)

Python Scikit-Learn Interpretability SHAP Mobile Phone Batteries

Council for Scientific and Technological Development - CNPq

Undergraduate research fellow - September 2022 - August 2023

Conducted research on interpreting machine learning predictions for diagnosing SARS-CoV-2 from symptoms, using SHAP and LIME (Local Interpretable Model-agnostic Explanations) methods. Link to the project
The project was supported by BIOS (Brazilian Institute of Data Science), and carried out at the Data Analysis and Decision Support Laboratory (LAD2), FCA/Unicamp.

Python Scikit-Learn Interpretability SHAP LIME Healthcare

Education

Ecole CentraleSupélec, Université Paris-Saclay

M.S, Engineering Degree (M2) - September 2023 - September 2025

Top ranked Engineering School in France, fusion of École Centrale Paris and Supélec. Final year specialization in Artificial Intelligence.
Courses in Artificial Intelligence, Machine Learning, Optimization, Deep Learning and Explicability of AI Systems

State University of Campinas - UNICAMP

B.S, Industrial Engineering - March 2020 - December 2024

UNICAMP is one of the best LATAM Universities and a national center for research and innovation. Ranked 1st out of 72 students.
Courses in Data Science, Statistics, Algorithms and Operations Research.