Luís Fernando Matias de Farias

Luís Fernando Matias de Farias started their work experience in 2019 as a Designer of electronic circuits and digital controllers at Instituto Federal de Educação, Ciência e Tecnologia do Ceará. Luís Fernando worked in the Lab: Laboratório de Processamento de Energia (LPE) on a project involving parallelism and load sharing between Boost electronic converter and DC bus. Luís Fernando worked on this project from October 2019 to February 2021.

In 2021, Luís Fernando Matias de Farias joined Inflow Analytics as a Data Analytics professional. Luís Fernando worked in this role from August 2021 to March 2022.

In 2022, Luís Fernando Matias de Farias joined Triade LLC as a Data Engineer.

In 2023, they started working as an AtScale Consultant at AtScale.

Luís Fernando Matias de Farias completed their Bachelor's degree in Mechatronics Engineering with a focus on Mechatronics, Robotics, and Control and Automation Engineering from Instituto Federal de Educação, Ciência e Tecnologia do Ceará. Luís Fernando attended this institution from 2015 to 2021.

In 2017 and 2018, Luís Fernando also pursued a Technical Education in Electrotechnical from the same institute.

In 2021 and 2022, they pursued a specialization in Machine Learning - AI from Stanford University. Additionally, they pursued a "Pós-graduação Lato Sensu" in Engineering from Faculdade UniBF during the same period.

Luís Fernando has obtained several certifications including Astronomer Certification for Apache Airflow Fundamentals from Astronomer in June 2023, Tableau Desktop Specialist from Tableau in April 2023, Modernizing Data Lakes and Data Warehouses with Google Cloud from Google in January 2023, and Tableau Desktop for Data Analysis & Data Visualization from Maven Analytics in December 2022. Luís Fernando also obtained certifications in various subjects such as unsupervised learning, recommenders, reinforcement learning from Stanford University, Azure Synapse Analytics for Data Engineers - Hands-On Project from Udemy, and Advanced Learning Algorithms from Stanford Online.

Additionally, they acquired expertise in various programming and development subjects through certifications from Alura, such as Docker: creating and managing containers, API with Django 3: Digging deeper into testing and documentation, API with Django 3: Django Rest Framework, API with Django 3: Testing, security, and honing, Authentication in Django: forms, requests, and messages, Django models Integration: Filters, Searches, and Admin, Django: models, URLs, and views, and HTTP: Understanding the web behind the scenes.

Furthermore, they obtained the Microsoft Certified: Azure Data Fundamentals certification from Microsoft and certifications in supervised machine learning, regression, and classification from Stanford Online. Luís Fernando also acquired expertise in AWS SageMaker and Machine Learning in production from Alura, Introduction to Machine Learning in Production from DeepLearning.AI, and NLP for sentiment analysis - part 1 from Alura.