Available to hire
I am a seasoned Data Scientist and Machine Learning Engineer with over 10 years of experience in the field of data science, possessing a strong understanding of statistical models and deep learning technologies. I have worked extensively with various types of databases and have industrialized data science pipelines to deliver impactful business solutions.
My professional journey spans roles in customs fraud detection leveraging generative AI, reverse engineering, robot arm optimization, anomaly detection, and AI deployments in production environments. I have a proactive approach to problem-solving and am passionate about advancing AI and machine learning applications across diverse sectors.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
French
Fluent
Dutch
Intermediate
Italian
Intermediate
Work Experience
Lead Data Scientist at SGS in Geneva
March 1, 2022 - PresentLed customs fraud detection projects using generative AI, including X-ray image generation with FSQ and stable diffusion and image captioning with Hugging Face LLMs. Participated in bug fixes and improved tariff code classification accuracy by 20% in 2 mandays. Reverse engineered proprietary X-ray image formats and maintained image processing tools using C# and Python. Engaged in UX design and delivered commercial presentations.
Lead Data Scientist at SGS
March 1, 2022 - PresentLeading customs fraud detection projects using generative AI including X-ray image generation with FSQ and stable diffusion, conventional and high energy X-ray image captioning with Hugging Face LLMs, improving tariff code classification accuracy by 20% in 2 days. Reverse engineering proprietary X-ray image formats and maintaining image processing tools with C# and Python. Involved in UX design and delivering commercial presentations.
Data Scientist at Amaris in Geneva
February 28, 2022 - August 25, 2025Handled database migration for Azqore and Ville de Lausanne. Optimized robotic arm movements for Rolex's supply chain. Solved Open AI Gym problems and built demonstrators. Conducted anomaly detection on company invoices. Enhanced electronic cigarettes at Philip Morris using machine learning augmented data analyses.
Data Scientist at Amaris
February 28, 2022 - August 25, 2025Conducted database migration projects for Azqore and Ville de Lausanne. Optimized robotic arm movements for Rolex's supply chain. Solved OpenAI Gym problems and created demonstrators showcased within Amaris. Conducted anomaly detection on invoices and optimized electronic cigarettes for Philip Morris using machine learning augmented data analysis.
Machine Learning Engineer at Jacoupeau Technologies (freelance) in Antwerp
March 31, 2020 - August 25, 2025Developed PyTorch reinforcement learning algorithms to optimize cooling systems electricity consumption, achieving +20% profits on imbalance price prediction demand response products. Fixed bugs in production roles of quantitative analysis.
Machine Learning Engineer (Freelance) at Jacoupeau Technologies
March 31, 2020 - August 25, 2025Developed PyTorch reinforcement learning algorithms to optimize cooling systems' electricity consumption achieving +20% profit on imbalance price prediction demand response products. Fixed a production bug.
Machine Learning Engineer at Relay42 in Amsterdam
May 31, 2019 - August 25, 2025Developed flight destination recommendations and real-time conversion predictions for airline companies like KLM using neural networks. Built a platform for production machine learning pipelines with Docker, Spark, Amazon Sagemaker, and Tensorflow.
Machine Learning Engineer at Relay42
May 31, 2019 - August 25, 2025Recommended flight destinations and predicted real-time conversion rates for airlines like KLM using neural networks. Built machine learning production platforms using Docker, Spark, Amazon Sagemaker and TensorFlow.
Data Scientist at CGI in Paris
March 31, 2018 - August 25, 2025Conducted anomaly detection of 3G/4G antenna performance at Bouygues Telecom using GMM and convolutional autoencoders, showing improvements over manual methods. Used deep learning to anticipate server utilization at EDF, improving monitoring indicators for server hosting. Estimated retirement counts for GRDF and Engie using classification, automating manual tasks. Developed statistical tools aiding EDF engineers in nuclear power station behavioral analysis and prevention of costly restarts. Created demonstrators for semantic similarity and crowd counting systems.
Data Scientist at CGI
March 31, 2018 - August 25, 2025Performed anomaly detection of 3G/4G antenna performances at Bouygues Telecom using GMM with convolutional autoencoders, demonstrating significant improvements over manual methods. Used deep learning for server utilization prediction at EDF, creating new monitoring indicators and improving accuracy over classical methods. Estimated retirement numbers for GRDF and Engie, automating manual tasks. Developed statistical tools aiding EDF engineers in understanding nuclear power station behaviors and preventing costly restarts. Built demonstrators for semantic similarities and crowd counting using GANs.
Data Scientist at La Javaness in Paris
July 31, 2016 - August 25, 2025Designed Spark courses in Python for internal teams and clients based on Kaggle competitions. Analyzed customer satisfaction using NLP for CNP Assurance. Consulted on data science experiments for MACSF, including data scraping and scoring techniques for insurance product recommendations.
Data Scientist at La Javaness
July 31, 2016 - August 25, 2025Designed Spark courses in Python for internal teams and clients based on Kaggle competitions. Used NLP to analyze customer satisfaction for CNP Assurances. Consulted on data science experimentation for MACSF including website scraping and scoring methods for health professionals. Created automated insurance product recommendation systems.
Data Scientist at CinéMurin in Paris
October 31, 2015 - August 25, 2025Developed multiple approaches for movie recommendation systems resulting in the first recommender system for the Fnac Play platform. Created collaborative filtering recommendations. Accelerated merging of partner databases using record linkage and Random Forest for entity matching.
Data Scientist at Cinemurin
October 31, 2015 - August 25, 2025Developed the first recommender system for Fnac Play, worked on recommendations for Cinemur.com using collaborative filtering, and accelerated merging of partner databases using record linkage and random forests for entity recognition.
Education
Master of Science MASH (Mathematics, Learning and Human Sciences) at Ecole Normale Supérieure and Paris Dauphine University
January 1, 2013 - January 1, 2015Bachelor (Mathematics, Economics, Finance and Actuarial Sciences) at Paris Dauphine University
January 1, 2010 - January 1, 2013Master of Science MASH (Mathematics, Learning and Human Sciences) at École Normale Supérieure and Paris Dauphine University
January 1, 2013 - December 31, 2015Bachelor (Mathematics, Economics, Finance and Actuarial Sciences) at Paris Dauphine University
January 1, 2010 - December 31, 2013Qualifications
Scoring 850 in TOEIC
January 11, 2030 - August 25, 2025PPE Cortana Intelligence Suite and Azure Machine Learning
January 11, 2030 - August 25, 2025TOEIC 850
January 11, 2030 - August 25, 2025PPE Cortana Intelligence Suite and Azure Machine Learning
January 11, 2030 - August 25, 2025Industry Experience
Energy & Utilities, Financial Services, Manufacturing, Transportation & Logistics, Software & Internet, Retail, Healthcare, Professional Services, Telecommunications
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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