Dipl.-Ing. Mounir Ouled Ltaief

- Design and develop an automated data cleaning solution using machine learning. - Analyze, structure and model data. - Participate and contribute to the internal data science projects.

• Plan, implement and maintain a self-service portal for the internal technical employees. • Setup a new MySQL database • Setup a webserver using html and php • Setup a working docker swarm linking various components together • Use NetApp's Trident Plugin for Docker to provide persistent storage • Automate various tasks using python in the demo lab, including: • Automation of Fiber Channel SAN alias and zone creation • Automation of complicated VMWare vSphere tasks

Sentiment Specific Word Embedding (SSWE) is an embedding method based on encoding the sentiment expressed by a word within its vector representation. In this project, We built a sentiment analysis system to classify tweets using SSWE for learning embedding and feature extraction. Keywords: Natural Language Toolkit (NLTK), Twitter API, Word2Vec, SSWE, deepnl, Convolutional Neural Network (CNN), Python

Recurrent Neural Networks (RNNs) and especially Long-Short Term Memory (LSTM) Neural Networks perform well in learning sequence and memorizing the relevant information. In this project, we experimented the performance of different RNNs architecture in Learning a sequence of logic circuits with different number of logic gates. Keywords: RNN, LSTM, Gated Neural Networks (GRUs), Computational Time Model, Adaptive Computation Time (ACT), Sequence Classification, Keras, Python.

Visualization is an important step to analyze and understand patterns within a historical data. In this project, we built a visualization system for mapping mathematics theories into a 3D Map and emphasizing the dependencies and the patterns among these theories. Keywords: Data visualization, javascript, Node.js, D3.js, Three.js.

In my graduation project, I investigated, in a first step,the existing solutions for Network monitoring. In the second step, I designed and implemented a network analysis tool that performs the features below: - Auto-discovery of the network components and topology, - Displaying the network state with a friendly interaction interface - Analyzing the behaviour of the network components Key words: Network Monitoring, Network Analysis, Visualization, Topology discovery, Python, Node.js.

"Social networks represent the digital reflection of humans do: we connect and share". In this internship, I designed and implemented a tool for collecting tweets and analysing their topics with the generative statistical model "Latent Dirichlet Allocation". Key words: Topic modeling, Latent Driechlet Allocation (LDA), Twitter API, JAVA, MAchine Learning for LanguagE Toolkit (MALLET).

Managing and manipulating sites for a network mobile operator is a daily task. It is an annoying task when the existing tools do not provide a friendly GUI. In this internship, we designed and implemented a PoC sites management system with more features and a friendly GUI. Keywords: Network sites management and visualization, JAVA

Information Systems, Machine Learning and Data Science.

IT Engineer with special focus on Telecommunication, Networking, Programming and solution design.

Mathematical optimization and Linear Algebra