Data Scientist

• Dec 2022 - Present

+ Medical data exploration. + Feature engineering. + Developed and evaluated performance of different models at the classification task. + Deployed models as APIs, using AWS - Docker/SageMaker/Lambda/Endpoints + Explained models using Shapley/Lime + Medical data exploration. + Feature engineering. + Developed and evaluated performance of different models at the classification task. + Deployed models as APIs, using AWS - Docker/SageMaker/Lambda/Endpoints + Explained models using Shapley/Lime

Plan and Control Analyst

• Sep 2021 - Dec 2022

In the Plan and Control Team I had the responsibility to develop the data journey from the extraction to the use of data in dashboards, analysis and forecasting of the operation.+ Extracted data from API and with webscrappers using Python+ Structured data processes+ Automation using UiPath and Power Automate+ Developed an ETL and scheluder to update data+ SQL queries+ Created Data Models in Power BI with hundreds of millions of rows. Using star-schema structure.+ Produced dashboards and insights from data analysis projects+ Exploratory Analysis+ Sizing a Call Center operation+ Supervised the deployment of a RPA solution (Uipath)+ Mentoring Show less

Estagio

• Mar 2020 - Sep 2021

Scientific Initiation Project PIBIC, UnB, team STORMS

• Sep 2021 - Sep 2022

Agregação de Modelos para Previsão de Produção. DOI: https://doi.org/10.48072/2525-7579.rog.2022.036+ Previsão otimizada de produção+ Previsão através de agregação de modelos (ensemble)+ Análise de resultados com pandas e matplotlib+ Teste de algoritmos de otimização com Pytest+ Modelo em python orientado à objeto+ Artigo publicado no congresso internacional Rio Oil And Gas 2022

Graduation Project

• Jun 2021 - Jun 2022

AI for forecasting porosity in materials fabricated by freeze casting..+ Bibliometric Analysis (Methodi Ordinatio)+ Extraction of MySQL database from Freezcasting.net’s schema+ Feature selection and correlation maps+ Development of Decision Trees, Neural Networks, AutoML and Stacked Ensembles (H2O e Scitlearn)+ Grid-Search+ Result Analysis and model comparisons+ Variation of error metrics and seeds for robustness evaluation

Project Leader - UnB

• Feb 2018 - Aug 2019

Coordinated projects and team members. Built physical and numerical tests. Simulated and studied tire model data in MatLab. + Trainee Project: Developed a program that simulates the suspension forces’ distribution. + Data analysis and Modelling from tire for project decisions + GUIs (guided user interface) in Matlab + Modelled car suspension at braking, acceleration and in curve dynamics + Course: Applied Vehicle Dynamics, OptimumG 50h + Center of gravity physical test project; Coordinated projects and team members. Built physical and numerical tests. Simulated and studied tire model data in MatLab. + Trainee Project: Developed a program that simulates the suspension forces’ distribution. + Data analysis and Modelling from tire for project decisions + GUIs (guided user interface) in Matlab + Modelled car suspension at braking, acceleration and in curve dynamics + Course: Applied Vehicle Dynamics, OptimumG 50h + Center of gravity physical test project;