Geilson Araujo

Data Scientist at ICA PUC-Rio
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Contact Information
us****@****om
(386) 825-5501
Location
Rio de Janeiro, Rio de Janeiro, Brazil, BR
Languages
  • English Professional working proficiency
  • Português Native or bilingual proficiency

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Bio

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Credentials

  • Python: entendendo a Orientação a Objetos
    Alura
    Dec, 2022
    - Nov, 2024
  • ENGENHARIA DE SOFTWARE PARA CIÊNCIA DE DADOS
    Pontifícia Universidade Católica do Rio de Janeiro
    Nov, 2022
    - Nov, 2024
  • Introduction to SQL
    DataCamp
    Nov, 2022
    - Nov, 2024
  • Introduction to PySpark
    DataCamp
    Nov, 2021
    - Nov, 2024
  • AWS Machine Learning Foundations
    Udacity
    Oct, 2021
    - Nov, 2024
  • Exploratory Data Analysis with Seaborn
    Coursera
    Nov, 2020
    - Nov, 2024
  • Natural Language Processing with Attention Models
    Coursera
    Nov, 2020
    - Nov, 2024
  • Natural Language Processing with Sequence Models
    Coursera
    Nov, 2020
    - Nov, 2024
  • AI for Medical Diagnosis
    Coursera
    Oct, 2020
    - Nov, 2024
  • DeepLearning.AI TensorFlow Developer Specialization
    Coursera
    Oct, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Oct, 2020
    - Nov, 2024
  • Mathematics for Machine Learning: Linear Algebra
    Coursera
    Oct, 2020
    - Nov, 2024
  • Natural Language Processing in TensorFlow
    Coursera
    Oct, 2020
    - Nov, 2024
  • Natural Language Processing with Classification and Vector Spaces
    Coursera
    Oct, 2020
    - Nov, 2024
  • Sequences, Time Series and Prediction
    Coursera
    Oct, 2020
    - Nov, 2024
  • Tweet Emotion Recognition with TensorFlow Organização emissora:
    Coursera
    Oct, 2020
    - Nov, 2024
  • Convolutional Neural Networks in TensorFlow
    Coursera
    Aug, 2020
    - Nov, 2024
  • Detecting COVID-19 with Chest X-Ray using PyTorch
    Coursera
    Aug, 2020
    - Nov, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Coursera
    Jul, 2020
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Jul, 2020
    - Nov, 2024
  • INTRODUÇÃO A REDES NEURAIS: DEEP LEARNING COM PYTORCH
    Alura Cursos Online
    Jun, 2020
    - Nov, 2024
  • UT.5.05x: Linear Algebra - Foundations to Frontiers
    edX
    May, 2019
    - Nov, 2024
  • PH125.5x: Data Science: Productivity Tools
    HarvardX
    Dec, 2018
    - Nov, 2024
  • 6.00.1x: Introduction to Computer Science and Programming Using Python
    MITx on edX
    Nov, 2018
    - Nov, 2024
  • PH125.1x: Data Science: R Basics
    HarvardX
    Sep, 2018
    - Nov, 2024

Experience

    • Brazil
    • Higher Education
    • 1 - 100 Employee
    • Data Scientist
      • Mar 2023 - Present

    • Brazil
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2021 - Feb 2023

      Developing Machine Learning models using structured and unstructured data. Data analysis to generate business insights and support stakeholders' decisions. Developing Machine Learning models using structured and unstructured data. Data analysis to generate business insights and support stakeholders' decisions.

    • United States
    • Human Resources Services
    • 700 & Above Employee
    • Career transition, supported by LHH
      • Jan 2020 - Jun 2021

    • Brazil
    • Oil and Gas
    • 700 & Above Employee
    • Senior management support technician
      • Jun 1998 - Dec 2019

      Working with petroleum products pricing and analysis for all Brazilian states. Promoting cooperation between business and technology areas for systems development that improved processes, resource optimization, productivity gains, organization of information, and KPI elaboration for stakeholders’ decisions in the Call Center. Giving training for users' capacity in new systems in all Brazilian states. Working with petroleum products pricing and analysis for all Brazilian states. Promoting cooperation between business and technology areas for systems development that improved processes, resource optimization, productivity gains, organization of information, and KPI elaboration for stakeholders’ decisions in the Call Center. Giving training for users' capacity in new systems in all Brazilian states.

Education

  • Pontifícia Universidade Católica do Rio de Janeiro
    Master's degree, Metrologia
    2023 - 2025
  • Pontifícia Universidade Católica do Rio de Janeiro
    Business Intelligence Master - MBA, Data Science
    2019 - 2022
  • Universidade do Estado do Rio de Janeiro
    Licentiate degree, Matemática

Community

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