fperdigon
Francisco Perdigon Romero
Data Scientist at Ericsson
Montreal, Canada

I'm a passionate Machine Learning/Deep Learning Researcher. I love to apply AI in areas that significantly improve human being life quality, such as telecommunication, health, and agriculture. I believe in IA for good.

CodersRank Score

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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

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222.4
CodersRank Rank
Top 4%
Based on:
Stackoverflow 1 events
Top 50
C++
C++
Developer
Canada
Top 50
Python
Python
Developer
Canada
Top 100
Shell
Shell
Developer
Canada
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Ericsson
Aug 2020 - Present (3 years 10 months)
Montreal, Canada Current workspace
Currently Francisco Perdigon Romero supports the Ericsson

Francisco Perdigon Romero's scores will be added to this company.

Data Scientist
Machine Learning, Deep Learning, and Reinforcement learning models design
python keras scikit learn matplotlib tensorflow data visualization data science scipy pandas deep learning machine learning linux windows reinforced learning
ChrysaLabs
Sep 2018 - Dec 2018 (3 months)
Montreal, Canada Area
Machine/Deep Learning Consultant
Pipeline development for soil data analysis using deep learning techniques.
machine learning deep learning keras tensorflow scikit learn pandas matplotlib jupyter notebook pytorch data science anaconda linux
École Polytechnique de Montréal
Jan 2018 - Jul 2020 (2 years 6 months)
Montreal, Canada
Researcher
Deep learning, machine learning, digital image processing, biomedical engineering.
Machine learning deep learning pytorch numpy pandas matplotlib sklearn keras opencv computer vision linux

This section lets you add any degrees or diplomas you have earned.
École Polytechnique de Montréal
PhD Candidate, Deep learning, Machine learning, Biomedical engineer
Jan 2018 - Jan 2022
Deep learning, machine learning, digital image processing, biomedical engineering.
Universidade Federal do Amazonas
Master of Science in Electrical Engineering, Machine Learning, Digital Image Processing, Biomedical engineering.
Jan 2014 - Jan 2016
Machine learning, convolutional neural networks, biomedical engineering, digital image and signal processing.
Universidad de Oriente. Cuba
Telecomunication and Electronic Engineer, Telecomunications, Electronics.
Jan 2007 - Jan 2012
Advanced knowledge in modern communications systems, computer networks, computer hardware, and programming.
Data Science Associate
May 2021

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