- Blog
- CV generator
- Community
- Documentation
Ricardo Barros Lourenco
Hamilton, Canada
Ricardo Barros Lourenço is a Ph.D. Student in Geography at the School of Earth, Environment & Society at McMaster University. He is a member of Professor Alemu Gonsamo’s Remote Sensing lab. His research interests lie in the interface of Geosciences and Computer Science, more specifically on the spatial analysis of remotely sensed data supported by machine learning methods. His experience spans more than ten years working at Banco do Brasil, in which he was involved in several initiatives of RD&I for the Agribusiness sector. He also studied at the University of Chicago (EX’ 19), DePaul University (MSc’ 16), Universidade Federal de São Carlos (UFSCar – BA’ 12), Universidade Estadual de Campinas (UNICAMP – EX’ 08) and Universidad Nacional de La Plata (UNLP – EX’05). He is an Associate Member of Sigma Xi, The Scientific Research Honor Society. In addition, his work was presented at the Google Earth Engine User Summit and at the American Geophysical Union Fall Meeting, which honored him with the Outstanding Student Presentation Award (OSPA).
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
162.2
CodersRank Rank
Top 5%
Based on:
12 events
Associate
Developer
Python
Top 50
Jupyter Notebook
Developer
Canada
Top 5
R
Developer
Canada
Highest experience points: 0 points,
0 activities in the last year
HTML
75.8
exp.
Jupyter Notebook
11.7
exp.
JavaScript
20.9
exp.
CSS
19.8
exp.
Apex
4.5
exp.
Python
12.7
exp.
JSON
1.6
exp.
Shell
8.9
exp.
This section lets you add any degrees or diplomas you have earned.
McMaster University
Doctor of Philosophy - PhD, Geography
Jan 2021 - Dec 2024
PhD Student in Geography at the Spatial Analysis concentration, at the School of Earth, Environment & Society.
The University of Chicago
EX'-Physical Sciences Division, Computer Science
Jan 2016 - Dec 2019
Former Ph.D student in computer science.
DePaul University
Master of Science (MS), Predictive Analytics
Jan 2014 - Dec 2016
Has been granted a Brazil Scientific Mobility Program\Professional Masters Scholarship by CAPES Foundation (Brazilian Ministry of Education) \ Institute of International Education(IIE) \ Fulbright Commission.
Attended the following courses:
- Predictive Analytics Capstone
- Information Technology Leadership
- Monte Carlo Algorithms
- Computational Advertising
- Advanced Data Mining
- Programming Data Mining Applications
- Artificial Intelligence Topics: Text Mining and Analytics
- Advanced Data Analysis
- Mining Big Data
- Data Analysis and Regression
- Data Visualization
- Knowledge Discovery Technologies
- Statistics and Data Analysis
Attended the following courses:
- Predictive Analytics Capstone
- Information Technology Leadership
- Monte Carlo Algorithms
- Computational Advertising
- Advanced Data Mining
- Programming Data Mining Applications
- Artificial Intelligence Topics: Text Mining and Analytics
- Advanced Data Analysis
- Mining Big Data
- Data Analysis and Regression
- Data Visualization
- Knowledge Discovery Technologies
- Statistics and Data Analysis
MIT xPRO
Professional Certificate, Data Science and Big Data: Making Data-Driven Decisions
Jan 2021 - Dec 2021
In-company course, covering a wide range of Data Science and Big Data techniques and their applications in a business setup.
DePaul University
Certificate Program, Big Data and NoSQL
Jan 2014 - Dec 2014
DePaul University's Big Data and NoSQL Program is designed for IT professionals whose companies are new to the Big Data environment. Big Data refers to the ever increasing amounts of unstructured data being generated by websites, sensors, and many other sources, along with transactional data from enterprise applications. The program has been designed to give learners a very comprehensive understanding of Big Data and NoSQL (commonly referred to as “Not Only SQL”), which is a new class of database management systems used for storing new types of data. The program will focus on the technologies and their implementation, but will also cover the business impact and guidelines for adoption. Two of the most popular NoSQL databases—MongoDB® and Apache Cassandra®—will be covered in detail.
Massachusetts Institute of Technology
Professional Education - Online X Programs, Tackling The Challenges of Big Data
Jan 2014 - Dec 2014
Universidade Federal de São Carlos
Bachelor of Fine Arts (BFA), Cinema, TV e Vídeo
Jan 2009 - Dec 2012
Main concentration in Hypermedia and Cinematography.
Universidade Estadual de Campinas
EX', Geology/Earth Science, General
Jan 2002 - Dec 2008
Incomplete Degree (94% Completion). Wide experience on geoprocessing, especially on airborne geophysics, and seismic data processing.
Universidad Nacional de La Plata
Petroleum Geology
Jan 2005 - Dec 2005
International Exchange with a scholarship of Grupo Montevideo and UNICAMP.
Responsible AI
May 2022
Data Science and Big Data - Making data-driven decisions
Jun 2021
Neural Networks and Deep Learning
Oct 2020