Dipl.-Ing. Mounir Ouled Ltaief

Angestellt, Cloud/Data Analytics Engineer, ZF Group

Student, Computer Science, University of Passau

Passau, Germany

Skills

Machine learning
Data Science
Deep Learning
Python
R
Scikit-learn
Keras
TensorFlow
Neural Networks
ensemble learning
Artificial intelligence
Data Cleaning
Data processing
Computer Vision
Hadoop
MatLab
Data Mining
Data Analysis
Natural language processing
Linear algebra
Statistics
Big Data
JavaScript
Java
Apache Hadoop
Optimization
Linux
Information systems
Network monitoring
Networking
Data visualization
Virtualization
System Administration
PHP
TCP / IP protocol
Cloud computing
Mathematics

Timeline

Professional experience for Mounir Ouled Ltaief

  • Current 4 years and 3 months, since Dec 2018

    Cloud/Data Analytics Engineer

    ZF Group

  • 7 months, Jan 2018 - Jul 2018

    Data Scientist Intern

    ZF Group

    - 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.

  • 10 months, Apr 2017 - Jan 2018

    Working Student

    NetApp Deutschland GmbH

    • 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

  • 6 months, May 2017 - Oct 2017

    Text mining Project

    university of Passau

    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

  • 5 months, Apr 2017 - Aug 2017

    Seminar Project

    university of passau

    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.

  • 3 months, Jan 2017 - Mar 2017

    Working Student

    University of Passau

    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.

  • 8 months, Mar 2016 - Oct 2016

    Internist

    University of Passau

    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.

  • 2 months, Jul 2015 - Aug 2015

    Internist

    Mediatron Lab - Sup'Com

    "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).

  • 2 months, Jul 2014 - Aug 2014

    Internist

    Tunisie Telecom

    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

Educational background for Mounir Ouled Ltaief

  • Current 6 years and 5 months, since Oct 2016

    Computer Science

    University of Passau

    Information Systems, Machine Learning and Data Science.

  • 2 years and 10 months, Sep 2013 - Jun 2016

    Telecommunication

    Higher School of communication of Tunis (Tunisia)

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

  • 1 year and 11 months, Sep 2011 - Jul 2013

    Mathematics and Physics

    Preparatory institute for engineering Studies of Tunis (IPEIT)

    Mathematical optimization and Linear Algebra

Languages

  • Arabic

    First language

  • English

    Fluent

  • French

    Fluent

  • German

    Intermediate

Wants

Machine Learning
Data Science
Artificial intelligence
Computer Vision
Big Data Analytics
Natural Language Processing (NLP)

Interests

Artificial intelligence
Machine learning
Data Analysis
Data Science
Movies
Music
Kaggle Competitions

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