About

About

Hello, My name is Monica Oliveira, and I’ve been working as a software developer since 2015, continuously immersing myself in this field. I hold a degree in Computer Engineering, providing me with extensive knowledge in various programming languages and frameworks currently prevalent in the market, with a primary focus on Data Science. I am not only passionate about technology but also about coffee.

Currently, my responsibilities encompass:

  • Capturing data from diverse sources using Selenium, CSV, spreadsheets, and APIs.
  • Developing and maintaining data pipelines.
  • Implementing ETL processes for seamless data integration utilizing the Python language.
  • Conducting data analysis with databases such as MongoDB, Django, MySQL, and Microsoft Power BI.
  • Participating in the deployment and development of Docker platforms and Kubernetes.
  • Designing, developing, and upkeeping a Backend system to capture and provide data accessibility to end customers.


  • FEDERAL UNIVERSITY OF OURO PRETO - UFOP (Computer Engineering - Bachelor)

Resume - Download


Interests

In addition to development, I spend most of my time learning about new technologies, I like to be flexible and always be exploring and using the latest technological advances. At the moment, I am dedicating Another fascinating area that I intend to continue is in AI, basically in Machine Learning which was part of my academic life, I hope one day to continue with my project on Pattern Recognition in Biomechanics. In my free time I dedicate my time playing sports like tennis and E-sports. I study both English and German.


Skills

Programming languages:

  • Python
  • Java
  • JavaScript
  • SQL
  • C

Databases:

  • MySQL
  • PostgreSQL
  • MongoDB (NoSQL)

Web development:

  • Frameworks Python, Django, Flask, FastAPI
  • HTML/CSS
  • JavaScript
  • RESTful APIs
  • React

Frameworks and Libraries:

  • Pandas (for data analysis)
  • NumPy (for numerical computation)
  • Matplotlib and Seaborn (for data visualization)
  • TensorFlow and PyTorch (for machine learning and AI)
  • Selenium (for web test automation)
  • Beautiful Soup and Scrapy (for web scraping)
  • Flask-RESTful and Flask-SQLAlchemy (extensions for Flask)
  • Celery (for background tasks)

Development Environments and Tools:

  • IDEs (PyCharm, VSCode)
  • Docker
  • CI/CD (Jenkins)
  • Kubernetes

Code Versioning:

  • Git
  • GitHub/GitLab/Bitbucket

Development Practices:

  • agile development methodologies (Scrum, XP, Kanban)
  • Good coding practices, clean code, unit testing and TDD

Project Management:

  • Jira
  • Trello
  • Scrum, XP
  • TDD

Cloud Services:

  • AWS (Amazon Web Services)
  • Azure (Microsoft Azure)

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