My experience

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Capgemini InventJanuary 2018 - Present

Main Responsibility: Design & Productionize AI solutions for Capgemini's clients.
Projects, Roles and Techniques:
Product owner & Technical lead - Retail Banking: Monitoring customer experience through a NLP system that classifies client verbatim (text) and calls (audio) into each step of the customer journey and estimates customer satisfaction at every step - Unsupervised Text Classification, Unsupervised Sentiment Analysis, Automatic Speech Recognition, Amazon Web
Services.
Project Advisor - Luxury Industry: Implementation of new internal job and competency framework.
Technical lead - Banking - Risk Function: Classification of incident reports into risk taxonomy - Unsupervised Text
Classification, Word Embedding.
Technical lead - Banking - Risk Function: Implementation of a new taxonomy of operational risk based on existing risk libraries - Text Similarity, Document Clustering, Sentence Embedding.
Technical lead - Aerospace Industry: Unsupervised Anomaly Detection in Aerospace Time Series (sensor data) - RNN, Variational Autoencoders.
Keywords: NLP, Document Classification, Document Clustering, Word & Sentence Embeddings, Amazon Web Services
(s3, Athena, Glue, Lambda, EC2, Transcribe), Mozilla DeepSpeech.
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Ecole Polytechnique & HECSeptember 2017 - December 2017

Introducing machine learning applied to natural language processing (NLP).
Module 1: Text Preprocessing, Latent Dirichlet allocation for topic modeling, Document Clustering.
Module 2: Introduction to Supervised Document Classification - TF-IDF, Bag of n-grams, SVM.
Keywords: Machine learning, NLP, Workshops.
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Capgemini InventMarch 2016 - December 2017

Benefits And Rewards Services: Consumers targeting with personalized offers - End-to-end agile delivery of an MVP and industrialization on Microsoft Azure.
Banking - Securities Services: Prediction of cross-sell opportunities for asset managers.
Banking - Securities Services: Analysis of multi-channel interactions & Detection of dissatisfaction signals.
Retail - Marketing: B2B customer profiling using purchase history and CRM profile.
Telecoms - B2B: Development of a platform for monitoring customer interactions and operational activity.
Telecoms - B2B: Churn prediction of home phone, mobile and internet offers.
Keywords: Artificial intelligence, Machine Learning (XGboost, Multinomial Regression, Random Forest, Ensembling),
NLP, Hadoop, Python, PySpark, HIVE, Scikit-learn, Seaborn, Matplotlib, Tableau, Qlik Sense, Dataiku, Microsoft Azure.
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FortuneoNovember 2015 - March 2016

Building a recommendation engine for personalized product recommendations based on transaction history and client portfolios.
Deployment on a Hadoop Data Lake and follow-up of the results.
Keywords: R, Logistic Regression, XGboost, Hadoop, Qlik.
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Le BIPE - BDO Advisory S.A.SJune 2015 - September 2015

Modeling residential migrations in France for the 2025 horizon.
Classification of companies in France and UK based on text description.
Keywords: R, Linear and Spatial Regression, Document Clustering.

GITJune 2014 - August 2014

My stack

Business Intelligence

Tableau Software, SAS

Artificial Intelligence

Dataiku

Others

Customer relationship management, Artificial Intelligence, Spanish, Data Science, Natural Language Processing (NLP)

Big Data

Hadoop, PySpark

Technologies

Machine Learning, Amazon Web Services (AWS)

Machine Learning

PyTorch, Deep learning

Computer Tools

Microsoft Word

Languages

Python, Java, SQL

Other

Lead Author - Research, Speaker and Demo Presenter, Masters Degree > Master of Arts > Master of Arts PE, graduate diploma, Associate Degree > Associate Degree Mathematics, English, Masters Degree, French, Arabic, Data Scientist, Diploma, Technical Lead, VOLUNTEER, LSI StoreAge > StoreAge SVM, PRODUCT OWNER, Teaching Assistant, tableau, industry~science, Natural Language Processing, Qlik Sense, Apache Hive, Operational Risk, Python Programming, senior data scientist, Masters Degree > Master of Science > Master of Science Engineering, Retail Banking, Masters Degree > Master of Science > Master of Science Data Science, Unsupervised Sentiment Analysis, Implementation of new internal job and competency framework, Sentence Embeddings, Technical lead - Retail Banking, Project Advisor, Technical lead - Banking

IT Infrastructure

Azure

My education and trainings

Master of Science (MSc) in Data Science (Diplôme d’ingénieur) - Field Of Study Data Science - Machine Learning Grade Machine Learning Engineer - National School of Statistics and Data Analysis2013 - 2016

Associate Degree, Mathematics - Preparatory Institute for Engineering Studies2011 - 2013