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Ahmed Iyed Hadj KhalifaAI

Ahmed Iyed Hadj Khalifa

Confirmed Data Scientist

€285/day
Paris 12e Arrondissement, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ahmed Iyed

I am a Grand École Engineer in Computer Science specializing in Data Science and Big Data. I have 3 years of experience on data processing projects with major clients, primarily in the banking, insurance, and telecommunications sectors.
I have diverse skills in Machine Learning, NLP, Python, Scala, Spark, Hadoop, SQL, and Linux.
I offer to assist you with:
- Analysis of technological choices in a Big Data context
- Data acquisition, cleaning, and analysis
- Prototyping Machine Learning models (Random Forest, Gradient Boosting...)
- Training neural network models (CNNs, RNNs...)
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

  • Arabic

    Native or bilingual

Can work on-site
Paris 12e Arrondissement (up to 50km)

Experience

  • Ernst & Young
    Data Strategy and Operations Consultant
    CONSULTING AND AUDITS
    June 2020 - Today (6 years)
    As a member of the Consulting service line's Strategy & Operations team, I technically contribute to client engagements and internal projects. I actively participate in understanding and defining client issues in the Data domain through data research, conducting quantitative and qualitative analyses, and proposing recommendations.
  • Devoteam
    Data Scientist
    DIGITAL AND IT
    October 2019 - June 2020 (8 months)
    • Reporting and emotional analysis of e-reputation
    • Implementation of a Big Data architecture for managing customer data quality
    NLP Deep Learning Python Scala Spark Hadoop Apache Kafka Scikit-learn Elasticsearch Kibana Hive Linux PostgreSQL Social Networks
  • Société Générale
    Data Scientist
    BANKING AND INSURANCE
    April 2019 - October 2019 (7 months)
    Implementation of a Machine Learning model allowing the chatbot to analyze user emotions based on the textual content they input. Keywords: Python, NLP, TF-IDF, CountToVec, Word embedding, FastText, Random Forest, XGBoost, AdaBoost, LightGBM, Deep Learning, LSTM, BLSTM, Cross-Validation, Grid Search, NLTK, SpaCy, Gensim, Keras
    Python NLP Deep Learning Nltk keras Machine learning Pandas

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Education

  • Computer Science Engineer specializing in Data Science and Big Data
    SUP'COM Mines-Télécom
    2019
  • Optimization systems and decision making under uncertainty
    Beihang University
    2016

Certifications

  • Python programming
    Microsoft
    2018
    Python
  • SQL database
    Microsoft
    2018
    SQL

Skill set

Categories