Mon expérience

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Loop AI Group Cognitive ComputingMarch 2020 - Présent

- Development of the Loop Q Cognitive Platform
- Implementation of Cognitive Applications

OCR, NLP, Supervised and Unsupervised Learning, Continuous Learning, Neural Networks
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Link MobilitySeptember 2018 - February 2020

Data Science for Mobile Marketing:
- Handling, Preprocessing, Cleaning and Creation of datasets from multiple sources (SQL, HDFS)
- Applying statistical Machine Learning methods to predict conversion and increase conversion rates
- NLP and Cognitive Artificial Intelligence: Unsupervised Language Learning and Understanding using Loop AI. Text Analysis and SPAM Filtering.
- Building APIs to deploy machine learning models
- Building Web Apps to expose trained ML models
- Use of Dataiku, LoopAI (Certified User), Mosaic Segmentation

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AudibeneApril 2017 - August 2018

Data Extraction - SQL, REST API (Python requests library)
Data Structuring - R and Python
Data Analysis using Machine Learning - R and Python:
- Customer Segmentation
- Churn Prevention
- Lead Scoring
- Classification of Imbalanced Datasets
Data Visualisation - Automated Dashboard - RMarkdown, Plotly, Tableau Software
Web and Mobile Tracking - Adobe Analytics, New Relic

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QuintenApril 2015 - December 2016

Data Science Consultancy for the Pharmaceutical Industry (Sanofi, Servier, Genfit) and the Flavour and Fragrance Industry (Givaudan).

Example of projects conducted:
- Identification of patients at risk for a treatment
- Identification of patients to be treated without using an invasive method
- Prediction of Survival for Pancreatic Cancer
- New Drug Discovery to help Chemists in drug development
- Sales Forecast

Technical Skills involved:
- Machine Learning : Predictive and Prescriptive algorithms (Associative rules, Random Forests, Support Vector Machines, K-Nearest Neighbours, Kaplan-Meier estimator...)
- Programming using Python and R

Management Skills:
- Project Management, Team Management

Mes compétences

Business Intelligence

Tableau Software


New Relic, Machine Learning, HDFS, REST API

Artificial Intelligence


Big Data

Data Visualization, Data Mining, Hadoop


SQL, Python, R Language

Machine Learning

Neural networks, Unsupervised learning


Optical character recognition, Team management, Natural Language Processing (NLP), Marketing Strategy, Project Management

Mes études et formations

Machine Learning by Andrew Ng, Stanford University - Coursera2019 - 2019

Loop AI Certified Professional Program - Loop AI Labs Cognitive Computing2019 - 2019

Master of Science (M.Sc.), Mathématiques appliquées - Université Paris Sud2014 - 2015

Engineer Degree - AgroParisTech2011 - 2015