Hachem SFAR

Contribution in many projects in various technologies: data analysis, unit testing, NLP, web development, web scraping, software development, and documentation keywords: Python,Tkinter, Pandas, Selenium, SQL, Sphinx, Unit testing , Matplotlib, GIT

- Develop a system that detects Hate Speech in Twitter using various Machine Learning techniques. - Deploy the solution on the web using Flask to make the model available to the end users. - Submut paper for SemEval-2020 workshop to describe the methodology. Web Application https://offdet.padim.fim.uni-passau.de/ keywords: Python, NLP, Deep Learning, BERT, CNN, Bidirectional GRU, ML Web App, Twitter API, Flask

The goal of this program is to create a generation of data scientists ready to tackle and solve tomorrow’s challenges. Participants will learn the basics of data science and they will learn how to apply classroom examples using real data. Program: • Module 1: Prerequisites • Module 2: Data Preparation • Module 3: Web scrapping • Module 4: Machine Learning • Module 5: Deep Learning

Development of an intelligent recommendation system that recommends products to meet the interests of each customer in the next months. keywords: Python, sklearn, keras, Machine Learning Algorithms: {Logistic regression, Naive Bayes, DecisionTree, Random Forest, Neural network}

Develop a simple desktop application to manage registration of the visitors using csharp programming language and mysql database. keywords: C#, MySQL

Solution development for the follow-up of the elderly which is useful (especially for those who suffer from Alzheimer’s) keywords: HTML, Javascript, Google map API, Node-red, Arduino/Raspberry pi, GPS shield, Temperature sensor, Arterial pressure sensor

Training in digital manufacturing: - 3D design(Solidworks,autodesk fusion 360) - 3D printing - milling and laser cutting

Discover the working environment within Tunisie Telecom and the different techniques of management of the Telecom network.

Subjects: ADVANCED DATA SCIENCE, DATA FUSION

Subjects: Machine learning Probability and stochastic processes Programming languages(C/C++/Java) Linux UML

Subjects: Computer Science Mathematics Chemistry Physics Technological Engineering Sciences