À propos de Rihab
I am incredibly passionate about the NLP field.
My studies provided me with an academic background in mathematics and programming. Furthermore, I have experience in machine learning and NLP field.
I gained valuable experience in processing large datasets, implementing professional machine learning algorithms, understand the NLP techniques for text representation, semantic extraction, data structures, modelling and the deep understanding of the new advanced techniques of text representation.
I worked on various NLP tasks such as text classification and clusterisation, sentiment analysis, named entity recognition, topic modelling and others.
NLP: NLTK, Gensim, SpaCy, FastText, word2vec, MUSE
• Crawling: Scrapy, Beautiful Soup, LXML
• Web: Flask, HTML, CSS, JavaScript
Anglais
Capacité professionnelle complète
Français
Capacité professionnelle complète
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- Career BoostsAI TraineeEDUCATION & E-LEARNINGfévrier 2019 - août 2019 (7 mois)Québec, CanadaBuilding a career recommendation engine:• Data pre-processing using NLP techniques.• Implement a multi-label classification algorithm.
- Insight center for data analytics, UC DublinAI research engineerCENTRES DE RECHERCHEmars 2020 - juillet 2020 (5 mois)Dublin, IrlandeThe aim of the project was to forecast the financial crisis and turmoil using AI.The overall mission was to1) conduct a literature review on the topic2) pre-process the dataset with the view to prepare them for forecasting financial crisis within the near future3) implement machine learning methods for time series to perform the forecasting
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Formations
- Advanced technologies engineerENSTA Borj cedria, Tunisia2020Mastery of mathematics and computer science.