Paes, B.

brunopaes05@gmail.com
bruno.paes@acad.espm.br

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

About

B.ASc. degree in Information Systems. Has keen interest in bio-inspired neural computing, computational physics, geostatistics and pattern recognition. Strong background in areas as: 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

• B.ASc in Information Systems by ESPM - SP
  • GPA: 3.600/Overall Average Score: 9.007
  • Academic Record
  • from aug/2016 until jun/2020

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:

• Artificial Neural Networks: Specialization Area Inference
  • Advisor: Prof. Dr. Antonio Marcos Selmini
  • Conclusion Certificate
  • from feb/2017 until aug/2018
• Mooncake: Improving the performance of predictors for detecting fraudulent transactions
  • Advisor: Prof. Dr. Antonio Marcos Selmini
  • Advisor and Thesis Commitee Member: Prof. Dr. Humberto Sandmann
  • Thesis Commitee Member: Prof. Ms. Edson Sensato
  • Academic Essay: link
  • from mar/2019 until jun/2020

Extracurricular Activities:

• Programming Contest 2017 — Regional Phase (São Paulo)
  • Team: Array of Thrones
  • Coach: Prof. Dr. Antonio Marcos Selmini
  • Participation Certificate
  • sep/2017
• Programming Contest 2017 — Latin America Phase (LatAm Finals)
  • Team: Array of Thrones
  • Coach: Prof. Dr. Antonio Marcos Selmini
  • Honorable Mention
  • nov/2017

Publications in Scientific Congresses:

• 7º SEMIC — ANN: Analysis of the Patterns of Choice of Areas of Expertise
  • Advisor: Prof. Dr. Antonio Marcos Selmini
  • Presentation Certificate
  • oct/2018
• 18º Congresso Nacional de Iniciação Científica — ANN: Analysis of the Patterns of Choice of Areas of Expertise
  • Advisor: Prof. Dr. Antonio Marcos Selmini
  • Presentation Certificate
  • dec/2018
• 24º SemeAd — Machine Learning for Financial Fraud Detection
  • Advisor: Prof. Dr. Antonio Marcos Selmini
  • Presentation Certificate
  • nov/2021

Personal Projects:

• Taarifa Water Pumps: Machine Learning Classification
  • oct/2018
• Asteroids Hazardousness: Machine Learning Binary Classification
  • from oct/2018 until nov/2018
• Flerken - Avengers: Endgame premiere tickets monitor
  • from mar/2019 until april/2019
• Friday - Whatsapp personal assistant
  • from may/2019 until jun/2019
• PicPay - Sherock Holmes
  • from dec/2019 until jan/2020

Publications:

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