Carolina Dias

Machine Learning Engineer

Experience

Machine Learning Engineer

Creditas

  • Develop and evolve a Machine Learning platform to accelerate the deploy, maintenence and monitoring of the models made by the Data Science team.
  • Use of MLOps techniques and software engineering best practices.
  • Tech stack: Python, MLflow, Docker, CI/CD, AWS.

September 2021 - Present

Content Creator of Data Science

Alura.Tech University

  • Created and developed the whole curricullum for the Data Visualization discipline for the Data Science Degree, from class notes to exercises and video scripts for the lessons.

December 2021 - February 2022

Undergraduate Student Researcher

Federal University of Ceará

  • Member of the ParGo Research Group (Parallel Computing, Graph Theory and Optimization) in the area of Graph Theory, focusing on graph convexity and algorithmic complexity.

August 2018 - June 2018

Technology Intern

Federal University of Ceará

  • Helped in the use of Assistive Technologies for people with disabilities, specially for visual impairments, allowing for independence in the use of computers and mobiles phones for study, work and personal use.

January 2018 - June 2018

Education

State University of Ceará

Master of Science in Computer Science

  • Learning...

March 2022 - March 2024 (Expected)

PUC Minas

Specialization in Artificial Intelligence and Machine Learning

  • Relevant coursework: Machine Learning, Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, MLOps and DataOps.

October 2021 - October 2022 (Expected)

Federal University of Ceará

Bachelor of Science in Mathematics

  • Member of the ParGo Research Group (Parallel Computing, Graph Theory and Optimization) in the area of Graph Theory, focusing on graph convexity and algorithmic complexity.
  • Relevant coursework: Besides the Pure Math disciplines, I took Data Structures, Construction and Analysis of Algorithms, Graph Theory, Combinatorics.

January 2018 - September 2021

Federal University of Ceará

Bachelor of Eng. in Electrical Engineering (Not finished)

  • After finishing about 40% of the degree, I transfered to Mathematics.
  • Relevant coursework: Programming in Python, C, C++ and Matlab, Statistics, Economics.

March 2016 - December 2017

Skills

  • Python
  • Docker
  • Machine Learning
  • Data Analysis
  • Data Visualization
  • Agile Development
  • To be continued...

Projects

Insurance Forecast

Data Science Project - MLZoomcamp

  • Analysis, understanding, modelling, deploy and presentation of a regression model predicting insurance prices.
  • Tech stack: Python, Docker, Streamlit, Heroku.

Drug Discovery With ML

Data Immersion 3 - Alura

  • One of the top 10 best projects chosen from more than 200 participants to receive a scholarship for Alura's Data Science Bootcamp
  • Data analysis, understanding and modelling about drug discovery.

more projects...

Latest Blog Posts


more blog posts...

Extras

Extra Courses

  • Introduction to Machine Learning in Production, DeepLearning.AI (15h)
  • AWS Machine Learning Foundations, Udacity
  • Introduction to Python for Natural Language Processing, USP (20h)
  • Data Engineering Bootcamp, How Bootcamps (100h)
  • Data Science Bootcamp, Alura (160h)
  • All Courses Completed at Alura

Talks & Presentations


Awards

  • Alura Stars, Alura (Website)
  • 2nd Place Data Engineering Hackathon, A3 Data (Project)