Soufiane Aazizi

data scientist, AWS Machine learning certified

Moves to Paris, Paris, Lille, Toulouse

  • 48.8546
  • 2.34771
  • Indicative rate €722 / day
  • Experience 7+ years
  • Response rate 100%
  • Response time 1h
Propose a project The project will only begin when you accept Soufiane's quote.

Availability not confirmed

Propose a project The project will only begin when you accept Soufiane's quote.

Location and geographical scope

Location
Paris, France
Can work in your office at
  • Paris and 50km around
  • Paris and 100km around
  • Lille
  • Toulouse and 100km around

Preferences

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

Verifications

Languages

  • Anglais

    Full professional proficiency

  • Français

    Native or bilingual

  • Arabe

    Native or bilingual

Categories

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.

Experience

Orange Bank - Orange Bank

Banking & Insurance

Senior Data Scientist

June 2019 - Today

• 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)

Carrefour - Carrefour

E-commerce

Data Scientist

Paris, France

January 2019 - June 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

Société Générale Africa Technology Services

Banking & Insurance

Data Scientist / Senior in Quantitative Investment Strategies

Casablanca, Morocco

October 2017 - November 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

July 2015 - June 2017

• Estimated sales of E-Learning training products
• Optimization of a data mining process allowing the processing of customer data hosted on Amazon S3 as part of the development of marketing strategies
• Analyze data, predict when training is in high demand to reduce fixed costs of the business
Amazon EC2, S3, Spark, Hadoob, Python, Machine Learning, Scala, Scikit-learn

Ormita Morocco

E-commerce

Data Scientist

Casablanca, Morocco

November 2013 - February 2015

• Establishment of an automated data recovery and processing chain.
• Development of prototypes in Machine Learning: Natural Language Processing (NLP), Text mining
• Visualization and communication of analyzes to employees
• Continuous data recovery via Flume and insertion into Hadoop HDFS
Python, Spark, Machine Learning, Amazon EC/S3, Spark Streaming, Data mining, Json, XML, GitHub

Cadi Ayyad university

Research

PhD student Researcher

Marrakech, Morocco

July 2002 - September 2013

• Discrete approximation of Backward Stochastic Differential Equations
• Contributions in the study of Lévy processes and fractional Brownian processes via Malliavin calculation and applications in statistics
• The central limit theorem in probability and statistics for subfractional and bi-fractional Brownian movements
• Portfolio problem with stochastic constraints
• Problem of switching with constraint

Education

Certifications

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