About Victor
French
Native or bilingual
English
Fluent
Experience
- AtosJunior Data ScientistAugust 2019 - September 2020 (1 year and 1 month)Paris Area, FranceMachine Learning developer in a Cyber Security Consulting team to create and enhance audit solutions. AI for GDPR compliance application. Developping Machine Learning solutions (NLP, Face detection, OCR) to detect and analyze personnal data in unstructured files : ● NLP project using BERT ● Face detection using Face Cascade algorithm ● PDF scans analysis using OCR ● GDPR familiarisation ● Collaboration with the DPO for Data collection ● 3rd place at the Innovation Competiton hosted by Atos in the category "Resolve CIO Agenda" Machine Learning solution to detect sensitive documents in an Information System : ●Key word extraction ●Word embeddings with Skip Gram method ●Transfer Learning using Big Transfer model for image embedding ●Documents similarity visualization with K-NN ●K-means Documents clustering
- 44Pixel ApSInternship : Data Scientist assistantMay 2019 - August 2019 (3 months)Odense Area, DenmarkWorking with sales history of a fast fashion app for Machine Learning model training. Extracted, processed and analysed the data for better insights. ● Start-Up Experience ● Deployment and production launch of Data Science tools ● Image recognition for automatic tagging ● Matrix Factorisation for score prediction
- Symphony RetailAIIntersnhip : Assistant DeveloperSOCIAL NETWORKSJune 2018 - August 2018 (2 months)Paris Area, FranceInternship working on the development of Machine Learning scripts in a R&D team. ● Code refactoring for Data Science solutions deployment● Machine Learning scripts preparation for API integration● Elaboration of best practices development
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Education
- Master 2 (M2)Grenoble Ecole de Management2021
- Master 2 (M2)Ecole internationale des Sciences du Traitement de l'Information20203 years at EISTI, a leading French Engineering School, acquiring a Master of Mathematics Engineering with a major in Data Science. ● Data Mining ● Data Exploration ● Machine Learning (Supervised and Unsupervised algorithms) ● Deep Learning (Convolution Neural Network, Recurrent Neural network) ● Parallel Programming ● Statistics ● Numerical Analysis ● Programming (Python, R, SQL, C, Scilab)