Felipe Macedo Freitas Siqueira

Bis 2019, Engineering Intern, Majik Water
Abschluss: Master, Universidade Federal Fluminense
Rio de Janeiro, Brasilien

Fähigkeiten und Kenntnisse

Excel
Team work
Word
Communication Skills
Python
Data Science
Chemical engineering
Process Optimization
Scilab
scikit-learn
TensorFlow
Keras
Arduino
VBA Programmierung
Micro Office advanced
Microsoft Power BI
Microsoft Visio
C++

Werdegang

Berufserfahrung von Felipe Macedo Freitas Siqueira

  • 6 Jahre und 8 Monate, Juni 2013 - Jan. 2020

    Tutor

    PB Curso

    • Tutor of the disciplines: Chemistry, Physics, Mathematics, Geography and History in PB Curso - pre-university course. - Developing some skills like teaching, quick learning and communicating.

  • 8 Monate, Sep. 2018 - Apr. 2019

    Engineering Intern

    Majik Water

    - Calculating energies involved in the thermodynamic processes; - Sharing knowledge with people from different countries about engineering; - Developing my domain in the English language; - Remote work.

  • 1 Jahr und 1 Monat, Jan. 2015 - Jan. 2016

    Project Director

    P&Q Engenharia Júnior

    - Monitoring to improve department indicators and partial reports were made for a better control of the department tasks; - Developing skills related to leadership, team management and teamwork.

  • 2 Monate, Juni 2015 - Juli 2015

    Tutor/professor

    IEG - Instituto de Engenharia e Gestão

    • Tutor of the EXCEL technical course applied to business. Course given to employees of the electricity distribution company of the city Fortaleza (Ceará, Brazil).

  • 1 Jahr, Feb. 2014 - Jan. 2015

    Advisor of the Projects Department

    P&Q Engenharia Júnior

    - Managing Chemical Engineering or Petroleum Engineering projects; - Developing skills related to proactivity and resilience.

Ausbildung von Felipe Macedo Freitas Siqueira

  • 2 Jahre und 2 Monate, März 2019 - Apr. 2021

    Chemical Engineering, Process Technology

    Universidade Federal Fluminense

    - Artificial Intelligence applied to physical and chemical processes. ▪ UNISIM was the software used to develop the rigorous model needed to build a database for the Artificial Neural Network train and test; ▪ Scilab and Python; ▪ Some optimization methodologies used were: Gradient Descent, Levenberg-Marquadt and Adam; ▪ ANN was used in two different strategies: (i) steady state simulation of the process and (ii) optimization of the process at different points of steady state;

  • 5 Jahre und 7 Monate, Juni 2013 - Dez. 2018

    Chemical Engineering, Process Technology

    Universidade Federal Fluminense

    - Final project as a practical work in the Engineering field working with Arduino to control a process. Development of a wireless control with a mobile app. ▪ Hands-on skills; ▪ IoT (Internet of Things); ▪ C++; ▪ Hardware design; ▪ Arduino knowledge;

Sprachen

  • Englisch

    B1-B2 (Gute Kenntnisse)

  • Portugiesisch

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    A1-A2 (Grundkenntnisse)

  • Spanisch

    A1-A2 (Grundkenntnisse)

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