Nilton Seixas
Pesquisador científico at FAPEX- Claim this Profile
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English Professional working proficiency
Topline Score
Bio
Credentials
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Docker & Kubernetes: The Practical Guide [2023 Edition]
UdemyNov, 2022- Oct, 2024 -
Visualização de Dados e Design de Dashboards
Data Science AcademyNov, 2021- Oct, 2024 -
Business Analytics
Data Science AcademyOct, 2021- Oct, 2024 -
Engenharia de Dados com Hadoop e Spark
Data Science AcademyApr, 2021- Oct, 2024 -
Machine Learning
Data Science AcademyApr, 2021- Oct, 2024 -
Big Data Real-Time Analytics com Python e Spark
Data Science AcademyJan, 2021- Oct, 2024 -
Big Data Analytics com R e Microsoft Azure Machine Learning
Data Science AcademyOct, 2020- Oct, 2024 -
Python Fundamentos para Análise de Dados
Data Science AcademyMay, 2020- Oct, 2024 -
Big Data Fundamentos 2.0
Data Science AcademyApr, 2020- Oct, 2024 -
Deep Learning com Python de A a Z - O Curso Completo
UdemyMar, 2020- Oct, 2024 -
Introdução à Ciência de Dados 2.0
Data Science AcademyNov, 2019- Oct, 2024 -
Formação Cientista de Dados
Udemy
Experience
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FAPEX
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1 - 100 Employee
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Pesquisador científico
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Sep 2023 - Present
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UFBA - Universidade Federal da Bahia
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Brazil
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Administration of Justice
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PH.D Student researcher.
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Nov 2019 - Present
Activities • Implementation of a simulator of ultra-dense elastic optical networks in python language for hypothesis validation Technologies used: simpy, ILP (Integer Linear Programming) with CPLEX/DOCPLEX, TDD with pytest, git/github for version control; • Analysis of data generated by simulations; Descriptive statistical analysis with python and R; Graphs with matplotlib, seaborn, GGplot, etc; • Implementation of artificial neural networks for ILP improvements Data cleaning - Use of interpolation techniques to replace missing data; Data analysis and pre-processing: attribute engineering, descriptive statistics, normalization and data transformation for the neural network; Deep learning model implementation - Recurrent neural networks (LSTM) for time series regression; Rating: R2, MAE, etc; • Demonstration of the neural network at: https://github.com/nfsseixas2013/Network_planning_project • Publication in IEEE Photonics Technology Letters: ”Automation of Photonic Networks Using MachineLearning: Case Studies and Future Works” Show less
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Softplan
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Belgium
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1 - 100 Employee
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Data Scientist
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Mar 2022 - Aug 2023
I work as a developer - data scientist in the field of justice. Performance: Implementing REST APIs with python Implementing and Deploying Lambda Functions on AWS Implementing features in frontends with vue, vuetify, vuex Implementing features in backends with django Applications in containers with docker/docker - compose Data Science: AI development pipelines for text classification and clustering (Natural Language Programming - NLP) Implementation of APIs for computer vision (OCR). Information extration - NER and RE. MLachine learning modeling and deploy Technologies: FastAPI Amazon EC2 Amazon S3 Amazon Registry Amazon Lambda Amazon CloudWatch Docker Docker-Compose Vuetify Vue Vuex Django Show less
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Solutis Tecnologias
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Brazil
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IT Services and IT Consulting
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700 & Above Employee
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System Analyst
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Aug 2017 - Oct 2019
Activities: • Deployment of software architectures Creation of virtualized redhat servers; Server network configuration - IP/Gateway/DNS; NFS configuration for storage; DNS/Reverse DNS configuration pointing to the server in question; Configuration of middleware connection (jboss, tomcat, glassfish) with oracle, postgresql and Mysql database; Application deployment on the server. • Incident monitoring through zabbix • Management of email accounts in zimbra • Management of mailing lists - Mailman/Zimbra • Migration of services to servers with a more up-to-date operating system • Server monitoring through zabbix • SVN access management. • Owncloud service configuration. Show less
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Researcher Student of master's degree.
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Jan 2015 - Jun 2019
Activities • Validation of hypotheses through simulation; Implementation of an NDN network simulator using the omnet++ discrete event simulator in C++ language; Design of an NDN-based architecture resilient to denial-of-service attacks; Implementation of data structure: Bloom filters and hashes as hypotheses to countermeasure against DDOS attacks; • Analysis of data obtained by simulation Descriptive statistical analysis in python; Graphic generation with matplotlib, seaborn, etc libraries; Use of statistical concepts: eg. confidence interval and central limit theorem; • Publication in the 2017 SBRC “An Information-Centric Network Model Resilient to Interest Flood Denial of Service Attacks” Show less
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Network services manager
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Mar 2014 - Aug 2014
Activities • Management of institutional accounts through LDAP/Active directory; Addition and re- service motion through phpldapadmin; • Management of mailing lists: Mailman and Sympa • SVN account management • Update/Maintenance and backup of debian/linux servers - sysadmin activities Activities • Management of institutional accounts through LDAP/Active directory; Addition and re- service motion through phpldapadmin; • Management of mailing lists: Mailman and Sympa • SVN account management • Update/Maintenance and backup of debian/linux servers - sysadmin activities
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Support Analyst
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Jan 2010 - Dec 2012
Activities • Management of institutional accounts through LDAP/Active directory; Adding and removing services through phpldapadmin; • Creating custom debian/linux livecds with chroot (docker embryo) • Automated installation/maintenance of preseeded labs (debian) • Creation/maintenance of custom debian/linux packages with debian helper • Management of mailing lists: Mailman and Sympa • SVN account management • Update/Maintenance and backup of debian/linux servers - sysadmin activities Show less
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Education
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UFBA
Doctorate, Computer Science -
UFBA - Federal University of Bahia
Master in Computer Science, Computer Networks, NDN, DDoS in NDN. -
UFBA - Federal University of Bahia
Bachelor, Computer Science