- Use OpenCV to process images.- Apply data science techniques such as data cleaning, and preparing for Machine Learning and AI with Python.- Mining and analyzing data sets to extract meaningful information.- Work with deep learning with areas of computer vision, natural language processing techniques.- Programming experience with Python scientific packages such as Numpy, Pandas, Keras, Pytorch in a Windows and Linux environment.- Manage of source Code using tools such as GitHub, GitLab.- Documenting and presenting model process and model performance.- Doing analysis and presenting results in a clear manner with typical skills in powerpoint and presentations.- Interpreting the results and suggesting the advices to the business stakeholders.- Experience in deployment of flask applications in Docker With Docker Containers.- Experience in Image classification, Object and Text detection and recognition(OCR).- Develop document parser solution using Google Vision API (OCR) , YOLO V3 ( detect some zones of interests in text image document).- Visualization of data and analytical result using python data visualization libraries (MatPlotLib, OpenCV).

Improving and adding new functionalities to existing software IMZII:- Automatic structuring of CVs data of consultants (classifying different elements of CV's content using some algorithms of deep learning (CNN, LSTM)) and developed by Python (Framework: Keras) and MongoDB.- Creating and deployment of a smart chatbot to facilitate the research of IT profiles and encourage online conversation with customers (Dialogflow, Python, Flask, MongoDB, PuTTY, Negrok).

Network Administration for the company Ms-FSA, which involves setting up and configuring of its network. It consists of installing the hardware that makes up the physical part of the network, and configuring the files or databases, hosts, routers, and network configuration servers (Web server (Apache 2), DNS, DHCP, file server (FTP), mail server (POSTFIX), LDAP directory).