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Malt Strategy
Rihab MhedbiRM

Rihab Mhedbi

Machine learning engineer

€125/day
Paris, FR
0-2 years

Average response time: 1 hour

About 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

  • English

    Fluent

  • French

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Career Boosts
    AI Trainee
    EDUCATION AND E-LEARNING
    February 2019 - August 2019 (7 months)
    Québec, Canada
    Building a career recommendation engine:
    • Data pre-processing using NLP techniques.
    • Implement a multi-label classification algorithm.
  • Insight center for data analytics, UC Dublin
    AI research engineer
    RESEARCH
    March 2020 - July 2020 (5 months)
    Dublin, Ireland
    The aim of the project was to forecast the financial crisis and turmoil using AI.
    The overall mission was to
    1) conduct a literature review on the topic
    2) pre-process the dataset with the view to prepare them for forecasting financial crisis within the near future
    3) implement machine learning methods for time series to perform the forecasting
    Machine learning Data visualisation Scikit-learn

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Education

  • Advanced technologies engineer
    ENSTA Borj cedria, Tunisia
    2020
    Mastery of mathematics and computer science.

Skill set (9)

NLP
Machine learning
Deep Learning
Git
Python
Scikit-learn
TensorFlow
Nltk
Data visualisation

Categories