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Realization of data consulting mission :
• Data Scientist Manager for a project for Saint Gobain in Brazil to detect
quality issues on the project line of one of their factory. Technical environment Python, GitHub, Azure Devops, ML and Azure Digital Twin.
• Data Scientist Manager for a project for Saint Gobain in India to optimize
the energy consumption of their furnaces.
• Lead Data Scientist for a project to create an automatic physician profiler using data and AI to find new high potential clinical trial partners.
• Predict attrition rate for Capgemini Services in India.
• Demonstrate the capabilities of Palantir Foundry Platform to deliver a
Digital Flight Readiness Decision: bring existing models to the foundry
and enhance the functionality.
• Feasibility study, time estimate for process automation needs from NLP
Lead research and development of micro-services architecture for the creation of a ”Designer Assistant” for Airbus.
Realization and supervision of data science projects:
• a data challenge for Airbus in order to determine within Airbus PDFs
containing acronyms the correct definition associated with the acronym
from the natural language processing method (use of the wordnet ontology and the BERT algorithm for encoding of text).
• participation in a workshop and realization of a technical proposal to
respond to a call for tenders for a datascience project for Premium
Aerotech.
• digital audit of the activities of the umlaut teams for Renault.
• realization of automation missions with Python for Renault Configuration Management teams.
Realization of data analysis, data science and natural language processing
projects on behalf of Airbus within the P3 Digilab:
• Project to predict the impact of a TRS (Technical Repercussion Sheet)
on the SRM (Structure Repair Manual) for A380 using NLP methods(design and prototype).
• Project to predict Lead Time and Cost of a Change Request thanks
to machine learning method: design, prototype and industrialization in
Airbus environment (skywise).
Proof of Concept of the application of methods for data analysis via machine
learning for the large-scale validation of the Flight Management System :
• Implementation of unsupervised learning algorithms to cluster trajectories on the vertical profile according to relevant discrimination criteria.
• Detection of outliers trajectories on the vertical profile.
Lead statistical studies and R & D to improve predictive models regarding the
demand for sports and cultural events.
• Develop a model for forecasting the production of the photovoltaic plant
of Salt River from numerical
• Evaluate satellite products to solar radiation available for Martinique.
Drafting a weekly magazine on economic and financial news in Switzerland
and writing a position paper on the cantonal banks and a note on the FrancoSwiss trade.