Ede Miranda Jr.

Ede Miranda Jr.

Information Technology Assistant

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  • Timeline

  • About me

    Data Scientist at Kyndryl

  • Education

    • Instituto Federal de Educação, Ciência e Tecnologia de São Paulo - IFSP

      2021 - 2023
      Postgraduate Degree Data Science
    • Pontifícia Universidade Católica de Minas Gerais

      2021 - 2023
      Postgraduate Degree Artificial Intelligence and Machine Learning
    • Fatec Indaiatuba

      2018 - 2021
      Undergraduate Degree System Analysis and Development
    • Cisco Networking Academy

      2018 - 2018
      Extra course IT Essential 6.0
  • Experience

    • JSL S.A.

      Jan 2017 - Oct 2018
      Information Technology Assistant

      Support other employees, perform software installations and configurations, development of spreadsheets, train new employees in the Company's system.

    • Bosch

      Oct 2018 - Oct 2020
      Data Analysis Intern

      - Co-created a Data Warehouse containing data from key customers over the country, this data was used to predict where a given product would perform better.- Dashboards creation using PowerBI for decision makers.- Support to an over 23 specialized sellers providing data insights from the key customers.

    • CNPq

      Sept 2019 - Aug 2020
      Scientific Student Researcher

      The aim of the Reaserch project was to analyze and understand the predictive techniques in data mining to help prevent forest fires. Climatological data were collected from OpenWeather and the ERA5 satellite, fires data from INPE base, and NDVI from the Landsat 7 and Landsat 8 satellites, for analysis in the Weka tool. Through this study it was possible to generate a classification model using the J48 (C4.5) algorithm to predict fires, with more than 84% of accuracy.

    • Faculdade de Tecnologia do Estado de São Paulo

      Sept 2020 - Sept 2021
      Researcher

      The aim of the Reaserch project was to perform a performance evaluation of complex classifiers in a local environment and in a cloud environment (Microsoft Azure), using data mining and distributed processing tools such as Weka and Apache Spark. The analyzed algorithms were: DecisionTable, JRip, RandomForest, SMO and MultilayerPerceptron.

    • Kyndryl

      Nov 2021 - now
      Data Scientist

      Currently engaged on projects in AIOps Global team:- Co-creating a Data Lake with incident data from IBM/Kyndryl Servers.- Cloud architecture migration - Integrating Elasticsearch, Apache Spark and Apache Airflow for Dashboards creation with Kibana.- Development of insights and ML models for decision makers.

  • Licenses & Certifications

    • Analyzing and Visualizing Data with Microsoft Power BI for Data Science

      Data Science Academy
      Jan 2019
    • Busuu’s English for Business course

      McGraw Hill
      Sept 2020
      View certificate certificate
    • Microsoft Certified: Azure AI Fundamentals

      Microsoft
      Jul 2022
      View certificate certificate
    • Deep Learning Essentials

      IBM
      Sept 2020
      View certificate certificate