Daniel Pereira Zitei
Data Scientist
I was born in Santos on march 24, 1996. I'm graduated from FATEC-RL in Internet Systems and currently working as a data scientist. I love playing video games, I give lectures on artificial intelligence in my spare time and since I was a kid I've read about science fiction, new tecnologies and artificial intelligence.
Curriculum Vitae
Graduation
I'm graduated from FATEC-RL in Internet Systems - 2016 - 2019
TCC - Feasibility analysis of mobile games using machine learning.
Certificates
3º Big Data Event by ICMC USP 2019 - Complete Course.
Participation in Brazilian Robotics Olympiad of 2010 - Place: 1º.
Game Developing with DarkBasic Pro (32 hour)
Professional Works
EQUIPE WEB - PHP Backend Developer - 2018 - 2019
ModalGR - Data Scientist - 2018 - Actual
Curriculum Lattes
Lectures
Tecnology Week of FATEC Praia Grande 2019 - Title: "How machine learns?"
Meetup Py013 - Title: "How machine learns?"
AIFest 2019 - Title: "Working with High Dimensionality Data"
Medium Posts
The image above is a link to my publication on Medium talking about my library Flask Middleware JWT.
Events
Workshop INTEL de Inteligência Artificial na FATEC Rubens Lara - 2017
Principles for Artificial Intelligence: Towards a Humanistic Approach? UNESCO - 2019
NASA International Space Apps Challenge - 2019
Projects
Nestor-GR
Chabot application using the programming language Python and open-source framework Rasa. This project uses message queue for traffic the messages, micro-services api application using Flask for create new chatbots and grant authorization to the other micro-services.
The developing uses Docker for provide unique developing enviorment for everyone, and the deploy was made with the orchestration of Kubernetes.
Suzano Data Warehouse
Analysis of 5 databases for the creation of a data warehouse. Creation of
Face Recognition
Using DLib Landmarks Library and Deep Learning to create a model for face recognition on gate in, gate out, in a port company. For this project I use Euclidean distance of 68 points of human face like the mandibular distance, eyebrow size, eyes area, mouth area, etc., for set the input layer of the neural network.
Clockify ETL
This ETL project that use the library Requests to scrape Clockify API and generate a Star Schema modeling to display in Power BI graphs with informations of employee's hours, characteristics, projects, etc.
To deploy in production I used Azure Functions and the database was the Azure BlobStorage.
DP WORLD
Software maintenance in a C# application
Contact
Open Projects
Stack Overflow
