Freelancer profile translated to English.
Back to original languageAbout Souhail
After 7 years of experience as a data scientist, I have developed sharp expertise in solving companies' data challenges. From statistical modeling to predictive analysis, I provide precise solutions to optimize data-driven strategies. My constant goal is to deliver actionable insights and improve performance through clever data utilization.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- CriteoMachine Learning EngineerFebruary 2022 - Today (4 years and 4 months)Paris, France- Developed and fine-tuned machine learning models, with a focus on optimizing the visual pipeline of creatives generation.- Proposed and implemented an internal intelligent documentation chatbot using ChatGPT API to enhance team productivity and access toinformation.- Leveraged Stable Diffusion models as a generative engine to create high-quality banners for advertising campaigns, significantly improvingvisual content generation.- Collaborated with cross-functional teams to gather requirements and deliver robust machine learning based solutions.- Implemented best practices in model training, evaluation, and deployment, optimizing for performance, accuracy, and scalability.- Maintained comprehensive documentation for model development and methodologies.Keywords: LLMs, ChatGPT API, Stable Diffusion, Gitlab, Computer Vision, Scikit-learn, Python, Pytorch, HDFS, Pyspark, MLflow, C#, Scala
- OpenClassroomsMentor for Data science and Machine learning engineer programsDecember 2020 - Today (5 years and 6 months)
- JobTeaserMachine Learning EngineerJanuary 2020 - February 2022 (2 years and 1 month)Paris, France- Built a candidate recommender service using Elasticsearch, enhancing the relevance of job recommendations.- Developed pipelines to extract structured information from resumes using Computer Vision and NLP, BERT algorithms.- Led multiple R&D projects involving multilingual word embeddings, job ad and resume embeddings using Siamese neural networks andtriplet loss mining.- Deployed machine learning projects as microservices, ensuring robust CI/CD processes with Kubernetes and other modern technologies.Keywords: OpenCV, Tesseract, GitHub, Natural Language Processing, Computer Vision, Python, Pytorch, AWS, CircleCI, Kubernetes, GuildAI, Kafka, Elasticsearch
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Education
- Master's degree in Applied Mathematics, Machine Learning, Artificial intelligence, Statistical Learning, Computer Vision and Data MiningÉcole normale supérieure Paris-SaclayMaster's degree in Applied Mathematics, Machine Learning, Artificial intelligence, Statistical Learning, Computer Vision and Data Mining
- Master's degree in Engineering, Statistics and Data ScienceEcole centrale de LilleMaster's degree in Engineering, Statistics and Data Science