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• Develop with team new algorithms using Machine Learning / Deep Learning approach to cope with manufacturing, procurement, supply chain management,
sales& marketing and connected vehicles challenges in automotive industry.
• Set up and implement Data Governance: Global data mapping, data quality
control, data protection and start evangelization about usage of personal Data
(pseudonymization of data, clients consent policies etc…)
• Develop, automatize and deploy dashboards on PowerBI for daily activities
management
• Define and manage Data strategy in the whole company:
o Setup and activate training plans for collaborators
o Responsible for the promotion, standardization of process, technologies
and analytic activities across the organization: For example move from
excel and SQL to Python/Spark for Data analytics activities.
o Mentoring collaborators and promote exchange of good practices between
different entities of the company
• Manage a team of expert in Data (12 Data scientist, 11 Data engineer, 4 Data Viz engineer, 2 Data project Manager)
• Lead data science team in machine learning methods (Random-Forest, Extreme
Gradiant Boosting, DBSCAN, KMeans etc…)
• Develop with my team new algorithms (segmentation, scoring) based on website
Dynamic, expert in Data strategy, Data governance, Data Science tools and referent in Evangelization
and training in Data expertise field.
CRM and navigation data to improve marketing targeting and improve yield
management.
• Design a destination recommendation algorithm: Based on website navigation
data, we propose optimal destinations to each customer. Opening, click and
conversion rate in News letters are significant improved due to the new algorithm.
• Manage a cross functional team of 8 Data scientist, 7 Data engineers and 3
marketing project managers.
• Management and formation activities for trainees and juniors in Machine
learning.
• Formation of account manager to daily using team developed software
tools.
• Conception and development of softwares: Automated pricing and Deal
Maker.
• The goal is to optimize in real time the price of advertising inventory in
RTB :
o BIG DATA, Ad exchange and RTB (real time bidding)
o Random Forest, Gradiant Boosting, Hidden Markov Model etc..
• Manage a team of 5 Data scientists and 3 account managers.
• Applied Mathematical statistics and modeling Big Data analysis:
• Design a toolbox to predict the life cycle of batteries in electrical cars and
monitor their ageing
• Change points detection in non-parametric framework
• Modeling, analyzing and forecasting in economic data
o Clustering Renault DataBase to improve customer knowledge and
upgrade CRM
o Prediction of Crude oil price using multivariate time series analysis
o Supervised and unsupervised learning