Freelancer profile translated to English.
Back to original languageAbout Philippe
Former Data Scientist at Inspection Générale of Société Générale for ~4 years, AI researcher applied to oncology at Institut Curie for 1 year, and current PhD candidate in AI at MILA, I have a dual academic and industrial background.
Having worked on a variety of projects using generative AI models, text or image processing, classification, customer scoring, recommendation systems, risk and anomaly detection, I am able to:
i) understand your needs
ii) propose relevant and adapted approaches
iii) have an operational and results-oriented vision
iv) provide understandable, detailed deliverables including recommendations for next steps
v) implement state-of-the-art models
Looking forward to working with you!
====================== CV ========================
Professional background:
- (1 year) Machine and Deep Learning Researcher at Institut Curie
- (3.5 years) Data Scientist at Inspection Générale of Société Générale
- (6 months) Research Scientist at Kiro (formerly Byond)
Educational background:
- Graduate of ENSTA - Institut Polytechnique de Paris (Class of 2019)
- Auditeur Libre at the Master's in Mathematics, Vision, and Learning at ENS (2019)
- Visiting student researcher at MIT (2017)
French
Native or bilingual
English
Native or bilingual
Polish
Native or bilingual
Remote only
Primarily works remotely
Experience
- Institut CurieMachine and Deep Learning ResearcherHEALTH AND WELLNESSJune 2023 - June 2024 (1 year)Paris, FranceAnalysis of sequencing data (scRNAseq, scATACses) using variational autoencoder models and clustering and classification algorithms
- Societe Generale SAData ScientistBANKING AND INSURANCEJanuary 2020 - Today (6 years and 5 months)Nanterre, FranceData Scientist at the Inspection's DataLab. I use data during internal audit and inspection missions for:- Fraud and anomaly analysis (risk scoring, isolation forest...)- Community detection (clustering, graphs...)- NLP dossier analysis (sentiment analysis, topic modeling...)- Object detection on PDF documents (YOLOv5, attention models...)On a daily basis, I use state-of-the-art machine and deep learning algorithms while simplifying my work and results to present them to top management.
- KiroMachine Learning EngineerHEALTH AND WELLNESSApril 2019 - September 2019 (5 months)Paris, France- Implementation of predictive algorithms, data imputation, NLP- Supervised and unsupervised learning- Participation in product strategy- Recruitment
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Education
- EngineerENSTA - Institut Polytechnique de Paris2019M1 en Mathématiques Appliquées (Optimisation, Probabilités, Statistiques, Recherche Opérationnelle ...) M2 : - Majeure en Intelligence Artificielle (Machine Learning, Deep Learning, Traitement du Langage Naturel ...) - Mineure en Entrepreneuriat (Design Thinking, Business Plan, Business Strategy, Marketing ...)
- Auditeur Libre - MVA (Mathematics, Vision, Learning)ENS2019- Reinforcement Learning - Statistical Learning - Graphs in Machine Learning - Optimization
Certifications
- Practical Reinforcement LearningCoursera2020
- Sequence ModelsCoursera2020