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Soufiane Aazizi

data scientist, aws machine learning certified

Peut se déplacer à Paris, Paris, Lille, Toulouse

  • 48.8546
  • 2.34771
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Soufiane.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Soufiane.

Localisation et déplacement

Paris, France
Peut travailler dans vos locaux à
  • Paris et 50km autour
  • Paris et 100km autour
  • Lille
  • Toulouse et 100km autour


Durée de mission
  • entre 3 et 6 mois
  • ≥ 6 mois




Compétences (22)

  • Débutant Intermédiaire Confirmé
  • Débutant Intermédiaire Confirmé
  • Débutant Intermédiaire Confirmé
  • NLP
    Débutant Intermédiaire Confirmé
  • Débutant Intermédiaire Confirmé

Soufiane en quelques mots

Experienced Data Scientist with a demonstrated background of working in E-commerce, Retail, Marketing, service and banking,.
Specialized in Machine Learning and modelling with strong mathematical background, I hold a PhD degree in Mathematics and a Master degree in Quantitative Finance, focused on stochastic modelling and statistics.

I am passionate by machine learning and algorithm development to others fields and sector, and feel comfortable in a dynamic and constantly changing environment, mainly in the international.


Orange Bank - Orange Bank

Banque & assurances

Senior Data Scientist

juin 2019 - Aujourd'hui

• Building a classification model to predict future churners based on personal banking activity (CatBoost, imblearn, HDFS)
• Scraping and extraction of reviews, ratings, dates,… from a dedicated web page (Selenium, BeautifulSoup, XML, Python)
• Construction of a banking lexicon for sentimental analysis of customer emails by adapting and modifying VADER method (NLTK, Vader, Scapy, StanfordCoreNL, stanfordnlp)
• Detecting recurrent payments and subscription in customer transactions (PySpark, Hive)
• Building classification model to KYC remediation based on OCR outputs data (CatBoost, XGBoost, imblearn, SMOTE, HDFS)
AWS NLP CatBoost XgBoost Machine learning Spark Apache Spark MLlib Python Pycharm Hadoop Selenium XML BeautifulSoup

Carrefour - Carrefour


Data Scientist

Paris, France

janvier 2019 - juin 2019

• Allocation of a personalized home page to users according to their browsing history, by transforming the problem of unsupervised learning into a supervised learning problem (kmeans, Decision Tree, Random Forest, GCP)
• Recommendation system based on business rules, seasonality and recurrence (Pyspark, HDFS, Hive, Docker, Stash, Ansible)
• Implementation of a batch to promote crossroads promotions on customers' mailboxes according to the similarity of their older products on their purchase history
Python Sklearn DataLab BigQuery SQL PySpark Machine learning Deep Learning

Société Générale Africa Technology Services

Banque & assurances

Data Scientist / Senior in Quantitative Investment Strategies

Casablanca, Morocco

octobre 2017 - novembre 2018

• Development and lunch of ERP (Equity Risk Primia) with backtest
• Development of ERP strategies using Machine Learning algorithms (Random forests, SVM, ...)
• ERP index pricing models (Fear Vol, Value, Quality, multi-factors, ...)
• Writing index rules (Hypothesis and calculation methodologies)
• Convergence with trading and the calculation agent
• Development of FACTSET API with python
• Data mining
• Collecting and analysing Ownerships data by exchange market
• Collecting and Calculating Scores of ERP (Value, Quality, Momentum, ...)
Python, MongoDB, MySQL, PySpark, Spark, Hadoop, MongoDB, XML, JSON, Sklearn, Arctic, PyCharm, FACTSET

Futures Visions

Education & e-learning

Data Scientist

Casablanca, Morocco

juillet 2015 - juin 2017

1 recommandation externe

Consultez les recommandations qu'a reçues Soufiane