Experience

Freshflow

• Germany
• Software Development
• 1 - 100 Employee

• Senior Data Scientist

  • Feb 2023 - Present

  - Works on forecasting models for demand of fresh products in grocery stores. - Working on all the steps in deploying the forecast models. - Collaborates with the Data Engineering teams for building the required data pipelines. - Works on forecasting models for demand of fresh products in grocery stores. - Working on all the steps in deploying the forecast models. - Collaborates with the Data Engineering teams for building the required data pipelines.



SYOS

• Brazil
• Information Technology & Services
• 1 - 100 Employee

• Lead Data Scientist

  • Dec 2019 - Dec 2022

  Working as the technical lead of the data science team. - Builds models for anomaly detection and classification on time series data for serving the company’s temperature monitoring product. - Works with analytics for providing business insights for internal and external clients. - Responsible for designing, implementing and maintaining data pipelines for processing data from real clients and communicate with the user application in AWS. More recently, the product team was joined to the data team, since then, I'm also working to implement the product vision, backlog priorization and specification of user stories. Show less



Pontifícia Universidade Católica do Rio de Janeiro

• Higher Education
• 700 & Above Employee

• Data Scientist

  • Jul 2019 - Nov 2019

  Worked at a consulting project for SulAmerica Auto Seguros, one of Brazil's top auto insurance companies. The project consisted in mining user profiles and predicting associated risk for them based on driving-related data collected by mobile app Auto.Vc, such as geolocation, circulation hours, driving dynamics, etc. Analytics are performed using Google's BigQuery and Jupyter Notebooks, we employ both supervised and unsupervised techniques using TensorFlow and SKLearn. Worked at a consulting project for SulAmerica Auto Seguros, one of Brazil's top auto insurance companies. The project consisted in mining user profiles and predicting associated risk for them based on driving-related data collected by mobile app Auto.Vc, such as geolocation, circulation hours, driving dynamics, etc. Analytics are performed using Google's BigQuery and Jupyter Notebooks, we employ both supervised and unsupervised techniques using TensorFlow and SKLearn.



GreenAnt

• Brazil
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Scientist

  • Jul 2017 - Jun 2019

  Develops systems for analyzing energy consumption data to create solutions for the energy sector in Brazil. Works primarily with improving the company's energy disaggregation systems powered by machine learning techniques and building power demand forecast models.

• Engineering Intern

  • Jul 2016 - Jun 2017

  Works on the development of blind source separation techniques for building the company's non intrusive load monitoring (NILM) system.



Laboratório de Sinais, Multimídia e Telecomunicações - SMT

• Brazil
• Research
• 1 - 100 Employee

• Research Intern

  • Aug 2014 - Jun 2015

  Supervised by Professor Eduardo Silva and PhD student Felipe Ribeiro. Research algorithms for fault detection in rotating machines, working primarily with Matlab. Supervised by Professor Eduardo Silva and PhD student Felipe Ribeiro. Research algorithms for fault detection in rotating machines, working primarily with Matlab.