Enia Olivio

Angestellt, Data Science Teaching Assistant, Le Wagon

Abschluss: Master's Degree, Physics, Instituto Nacional de Pesquisas Espaciais - INPE

Munich, Bavaria, Germany, Deutschland

Über mich

I'm a Mechanical Engineer who is well organized, highly analytical and is a strong logical thinker. I developed my problem solving abilities while completing a master’s degree in Physics on which I created algorithms and applied simulation tools to model upper atmospheric layers. I have also completed an intensive 9-week Data Science and Machine Learning Bootcamp program where I learned the core concepts of Python, Pandas, SQL, Machine Learning, Data Engineering and more... The academic life allowed me to develop my research skills while also being able to deal with unexpected situations. I developed my communication and presentation skills while working as a Physics teacher in high school and at university. I have lived in multiple countries and worked in a variety of technical fields. This, combined with my academic qualifications, has given me a creative and diverse way to look at problems and solve them.

Fähigkeiten und Kenntnisse

Data Science
Data Analysis
Machine Learning
Python
SQL
Deep learning
Analytics
Statistics
Engineering
Physics
English Language
ML
Data visualisation
Python pandas
Python NumPy
Problem Solving
Team work
Commitment
Analytical skills
Mathematical Skills
Presentation skills
willingness to learn
Reliability
Power BI

Werdegang

Berufserfahrung von Enia Olivio

  • Bis heute 1 Jahr und 2 Monate, seit Apr. 2023

    Data Science Teaching Assistant

    Le Wagon

  • 1 Jahr und 9 Monate, Apr. 2019 - Dez. 2020

    Mechanical Designer

    K&Y Diamond Ltd

  • 3 Jahre und 8 Monate, Sep. 2008 - Apr. 2012

    Theoretical physicist

    ETEP - Centro Universitário

  • 3 Jahre und 1 Monat, Feb. 2006 - Feb. 2009

    Researcher

    INPE

Ausbildung von Enia Olivio

  • 3 Monate, Juli 2022 - Sep. 2022

    Coding Bootcamp for Data Science & Machine Learning

    Le Wagon

    9-week full-time intensive coding bootcamp to learn Data Science with Python: Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib; Statistics with Scipy, Seaborn and Statsmodels;Machine Learning with Scikit-learn; Deep Learning with TensorFlow Keras; and develop Data Products with Google Cloud Platform, ML Flow, Flask, Heroku and Streamlit. Final Project: Emotion recognition from live recorded voice based on Recurrent Neural Network

  • 3 Jahre und 1 Monat, Feb. 2006 - Feb. 2009

    Master's Degree, Physics

    Instituto Nacional de Pesquisas Espaciais - INPE

    Master’s Thesis : Study of the Conductivities and Electric Fields in Equatorial Brazilian Region E

  • 4 Jahre und 8 Monate, Feb. 1999 - Sep. 2003

    Physics

    Universidade Federal do Rio Grande do Norte

Sprachen

  • Englisch

    Fließend

  • Französisch

    Fließend

  • Portugiesisch

    Muttersprache

  • Deutsch

    Grundlagen

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