Author: Maxime Sangnier

Personne de contact : Dr. Daniel Souza Covacich <daniel.covacich@braincities.co>
Context: In Braincities we are developing different ML algorithms to provide cutting-edge solutions to industries like: HR, fin-tech and blockchain.

Typical Tasks:

• Data Analysis and visualisation
• Research in “Data Augmentation” techniques and Bootstrapping
• Creation and implementation of NLP solutions (i.e. tokenisers, classifiers) 
• Non-traditional pattern (image) recognition problems 
• Time series prediction using RNN (i.e. LSTM) 

Technologies Used:

• OS: Debian-basedLinux.
• Data Analysis:  Python (Pandas, Numpy, Scikit-Learn, etc), R
• Machine Learning: TF, Keras, PyTorch
• Visualisation: Jupyter, D3, Chart.js
• Connectivity: Node.js

Workstation: We have a 16core (32 thread) CPU with 4 GeForce RTX 2080 for training/testing our algos.