Resume

Experiences

Smiths Detection | Threat detection and security screening

Data Scientist (February 2022 to Now)

Smiths Detection excels in threat detection through innovative R&D and advanced technologies like AI and machine learning. They collaborate with various partners to develop next-gen solutions for sectors like aviation and transportation, ensuring global safety and security

  • iCmore Weapon: A state-of-the-art automatic weapon detection system, utilizing advanced algorithms and machine learning techniques to enhance security in public spaces and critical infrastructure

  • ENTRANCE (European project): A collaborative initiative focused on developing innovative security solutions for transportation hubs, combining expertise from government, academia, and industry to protect European citizens and assets

  • X-ray Acquisition Solution: Advanced software solutions designed to streamline and optimize the process of collecting and analyzing X-ray data, enabling faster and more accurate detection of threats and contraband in various security applications

Zifo | Scientific Informatics Services Company

Data Scientist (August 2020 to February 2022)

Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, speciality chemicals and other research-based organizations.

  • Applying innovative models to problems in computer vision and natural languages processing
  • A mix of research and development with engineering solutions
  • Amplitude Solution installations (COVID-19) across the UK with Thermo Fischer

Laboratoire IBISC - CNRS

Deep Learning Research Intern (February 2019 to September 2019)

The IBISC laboratory is attached to the University Paris-Saclay and the University of Evry Val d’Essonne

  • Biological interpretation of deep neural networks learned from transcriptomic data
  • Development of a new model called Deep GONet
  • Ability to deep-dive into research papers, down to a technical depth required to translate them into code using both existing toolkits and self-developed code

Eiffage Systèmes Informations

Data Scientist Intern (June 2018 to September 2018)

Company in operation for 7 years, specialized in the activity sector of the management of computer facilities. Information Systems Department of the Eiffage Group.

  • POC (Proof Of Concept) on Computer Vision Project and Predictive Maintenance
  • Project “Opere” with the SNCF: Detect a problem of rail transport on the LGV Bretagne-Pays de la Loire
  • Smart city project named “Expercite”, in partnership with Microsoft and the start-up company called Busit. Data collection from IOTs (electrical cabinet connected) to perform predictive maintenance

IAE Poitiers

Software Developer Intern (April 2016 to July 2016)

The Institute of Business Administration of Poitiers is the School of Management of the University of Poitiers.

  • Development of a database needed for capturing and processing datasets from platforms like Facebook, Twitter, and Youtube, to be linked with data provided by companies and the statistics department of a ministry (MySQL, Python, etc.) and capture (API RESTful)
  • RELOC project with ULULE and KKBB databases

Education

University of Paris

Master’s degree in Artificial Intelligence (September 2017 to September 2019)

Specialized in Artificial Intelligence (Machine Learning for Data Scientist). Studied unsupervised, semi-supervised and supervised learning methods and visualization methods. Also researched reinforcement learning. These methods are commonly used in the context of data mining which is the art of extracting information or even knowledge from increasingly large data. These can come from various fields such as genomics, textual analysis, images, networks and speeches.

University of Poitiers

Bachelor of Mathematical and Computer Sciences (September 2014 to June 2017)

Gained the ability to use the basics of probabilistic reasoning and implement a statistical approach to data processing. Wrote and implemented basic and complex algorithms for scientific computing. Utilized software for formal and scientific calculation.