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Brunopaes / brunopaes.github.io

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Paes, B.

[brunopaes05@gmail.com](mailto:brunopaes05@gmail.com)
[bruno.paes@acad.espm.br](mailto:bruno.paes@acad.espm.br)

Paes#1690
/brunopaes
+55 (11) 94258-4307

About

Degreed in B.ASc in Information Systems at ESPM-SP. Has keen interest in bio-inspired neural computing, computational physics, geostatistics and pattern recognition. Strong background in areas as: artificial intelligence, machine learning, deep learning, computer vision and, through data science techniques, pattern recognition in complex datasets. Seeking to automate and extract data from the vast majority of personal tasks.

Background

Supported by:

  • ESPM SP - meritorious scholarship under registration number 11620317

    • from aug/2016 until jun/2020

  • Escritório de projetos e apoio à pesquisa - EPAP-ESPM

    • from aug/2017 until aug/2018

  • ESPM Tech - Programming Contest Finals - trip costs

    • nov/2017

  • ICPC/SBC - Programming Contest Finals - hospitality costs

    • nov/2017

Professional Experience:

  • Bloomberg LP — Data Analyst (Commodities & Energy)

    • from oct/2022 until -

  • Banco ABC Brasil — Data Analyst (Credit & Risk)

    • from sep/2020 until oct/2022

  • Bloomberg LP — Data Automation Intern

    • from oct/2018 until jun/2020

Areas of interest

  • Machine learning and artificial neural networks
  • Computational vision
  • Pattern recognition
  • Data automation

Technical Skills:

Python
Data Science and AI
Data Automation requests, beautifulSoup, selenium and others
Data Analysis and Processing pandas, numpy, bqplot, matplotlib and seaborn
Data Augmentation open-cv and numpy
Machine Learning bayesian learn, k-nn, k-means, random forest, svm and others
Deep Learning neural nets, gans and convnets
Python
Dev
Web Frameworks bootstrap, django and flask
Microservices airflow, jenkins and unittests
R
Data Science and AI
Data Analysis and Processing built-in packages
Machine Learning k-nn, k-means, random forest and others
Julia
Data Science
Data Analysis and Processing built-in packages
SQL Databases
Data Manipulation
DQL select
DDL create, drop and alter
DML insert, update and delete
NoSQL Databases
Data Manipulation
MongoDB
Cassandra
Cloud Computing
Data and Process Automation
Azure Virtual Machines and Machine Learning APIs
AWS EC2, Lambda and Machine Learning APIs
GCP BigQuery, Data Flow and Machine Learning APIs
IBM Cloud Watson Services

Foreign Languages:

  • English
    • TOEFL iBT - 101/120 pts
    • from jul/2014 until jun/2016

Research Projects:

Extracurricular Activities:

Publications in Scientific Congresses:

Personal Projects:

Publications:

Curriculum Lattes
http://lattes.cnpq.br/5724163564352003

About