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Soufiane Aazizi

data scientist, AWS Machine learning certified

Moves to Paris, Paris, Lille, Toulouse

  • 48.8546
  • 2.34771
Propose a project The project will begin once you accept Soufiane's quote.
Propose a project The project will begin once you accept Soufiane's quote.

Location and workplace preferences

Paris, France
Can work on-site in your office in
  • around Paris and 50km
  • Around Paris and 100km
  • Lille
  • Around Toulouse and 100km


Project length
  • Between 3-6 months
  • ≥ 6 months




Skills (22)

Soufiane in a few words

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

Banking & Insurance

Senior Data Scientist

June 2019 - Today (2 years and 7 months)

• 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

January 2019 - June 2019 (5 months)

• 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

Banking & Insurance

Data Scientist / Senior in Quantitative Investment Strategies  - As a freelancer

Casablanca, Morocco

October 2017 - November 2018 (1 year and 1 month)

• 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  - As a freelancer

Casablanca, Morocco

July 2015 - June 2017 (1 year and 11 months)

1 external recommendation

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