Khouloud Rejeb
Consultant at Planisware MIS- Claim this Profile
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German Elementary proficiency
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French Professional working proficiency
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English Professional working proficiency
Topline Score
Bio
Credentials
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DevOps
Go My CodeSep, 2021- Oct, 2024 -
Red Hat Certified System Administrator (RHCSA)
Red HatNov, 2022- Oct, 2024 -
Learn Azure DevOps CI/CD pipelines
UdemySep, 2019- Oct, 2024 -
Microservices - Fundamentals
CourseraJul, 2019- Oct, 2024 -
CCNA3: Routing and Switching : Scaling Networks
CiscoApr, 2019- Oct, 2024 -
CCNA2: Routing Protocols Concepts
CiscoJan, 2019- Oct, 2024 -
CCNA1: Network Fundamentals
CiscoDec, 2018- Oct, 2024 -
Voltaire Certificate - Professional level
Certificat VoltaireOct, 2019- Oct, 2024 -
TOEIC (800/990)
ETSJan, 2019- Oct, 2024
Experience
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Planisware MIS
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France
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Information Technology & Services
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1 - 100 Employee
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Consultant
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Nov 2020 - Present
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Vneuron Risk & Compliance
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France
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Software Development
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1 - 100 Employee
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Software Engineer Intern
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Feb 2020 - Jul 2020
Develop an Application that allows managers to diffuse personalized offers to their customers according to their preferences. Keywords: Recommandation System, Facebook Graph API, NLP, CNN, Python, MongoDB, React NodeJS, ExpressJS, Docker and Docker Compose Develop an Application that allows managers to diffuse personalized offers to their customers according to their preferences. Keywords: Recommandation System, Facebook Graph API, NLP, CNN, Python, MongoDB, React NodeJS, ExpressJS, Docker and Docker Compose
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Groupe SFM
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Tunisia
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IT Services and IT Consulting
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1 - 100 Employee
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Machine Learning Intern
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Jul 2019 - Aug 2019
Develop a Web Application that lets marketers visualize charts describing user categories according to theirs tweets, retweets and comments • Collect, wrangle and preprocess data of user profiles. • Assign coordinates to those users based on the concept of virtual positioning then cluster them. • Visualize these clusters in a web application. Keywords: Twitter Api,Machine learning, NLTK, Naïve Bayes, Vivaldi, Kmeans, MongoDB, Flask, Python, Highcharts, Angular 7 Develop a Web Application that lets marketers visualize charts describing user categories according to theirs tweets, retweets and comments • Collect, wrangle and preprocess data of user profiles. • Assign coordinates to those users based on the concept of virtual positioning then cluster them. • Visualize these clusters in a web application. Keywords: Twitter Api,Machine learning, NLTK, Naïve Bayes, Vivaldi, Kmeans, MongoDB, Flask, Python, Highcharts, Angular 7
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Education
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SUP'COM
National Telecommunications Engineer Diploma, ICT -
Preparatory Institute for Engineering Studies (IPEIN)
Diploma of Preparatory Engineering studies Mathematics and Physics -
Pioneer School of Gabès
Baccalaureate degree, Mathematics