Freelancer profile translated to English.
Back to original languageAbout Brondon
Brondon, a freelance data scientist with over 4 years of experience in consulting, credit risk, and quantitative analysis, masters Machine Learning, Deep Learning, Generative AI, and Risk Modeling. With a specialization in AI & Data, he has supported clients in various sectors (banking, industry, aeronautics) in strategic projects (banking, corporate solvency, financial statement analysis), creating innovative solutions. Versatile, he works with both financial business teams and IT teams, and has optimized advanced AI models for risk analysis and for industries. Recognized for his seriousness, his excellent analytical and synthesis skills, and his autonomy, as well as his dynamism and proactivity. Brondon successfully manages complex projects.
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- CGI - HSBCData Scientist / AI EngineerBANKING AND INSURANCEMay 2024 - Today (2 years and 3 months)- Project and team management and steering, Technological Watch on Data Science/AI and data and analytics transformation- Collaboration with business units, IT/Risk and Client Support in digital and data-driven transformation (banking.)- Development and deployment of an agentic conversational AI assistant (LLM/RAG/LangChain/LangGraph) for document exploitation (credit risk, audit, ICAAP), robust NLP pipelines from ingestion to deployment- Facilitation of Data & AI workshops to raise awareness among business units, Report writing, collaboration with IT/risk/analytics
- IDEFICS – Harmonie Mutuelle – CNRS (Finance, Industrie, R&D, Retail)Data Scientist Risk / Product OwnerNovember 2022 - April 2024 (1 year and 5 months)Annecy, France• - Data/AI roadmap steering, business support, project management, writing functional/technical specifications• - Data collection, Exploratory and statistical descriptive analyses, data processing (CRM, Python, SQL…)• - Redesign and deployment of credit risk models (stress test, PD..), AI/machine learning models (customer scoring/churn)• - Development of data processing scripts (ETL), model optimization, computational monitoring (profiling)• - Participation in data architecture structuring (AWS environment, quality and data governance pipelines)• - Development and deployment of a predictive maintenance recommendation system on time-series batteries• - AI models and solutions benchmarking, Test management (A/B) and incidents, evolutionary and corrective maintenance of solutions
- Laboratoire d'Annecy de Physique des Particules (LAPP - CNRS/ IN2P3 - USMB)Consultant Data Scientist/ Data AnalystOctober 2022 - October 2024 (2 years)- Technological Watch on Data Science/AI and creation of project documentation- Requirements gathering, analysis of needs and existing systems- Data analysis and visualization- Definition of functional and technical specifications- Supporting companies in data exploitation and processing up to POC- Unit and integration testing- Fostering knowledge transfer by bridging academic scientific innovation and business- Design, development, and optimization of AI/Deep learning models for quality control and conformity of mechanical parts before packaging (Object Detection: YOLO)- Design, development, and optimization of AI/machine learning models (Random Forest, XGBoost,...) for classification and anomaly detection on connected box batteries (POC)- Contribution to the animation of the 'Data' team within academic circles and the external partner network- Design, development, and Optimization of an AI/Deep learning model (RESNET - Attention Model - Autoencoder) for reconstructing physical particle characteristics (Classification and Regression: Multi-task) Tools: Python, Tensorflow, Keras, Pytorch, Linux, Jupyter Notebook, SQL, Pycharm, Git, CI/CD, Docker.
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Education
- Master of ScienceINSA Toulouse2021MS Valorisation des données Massives, Mathématiques et informatique
- Specialized Engineering Degree, Data ScienceENSEEIHT2021Diplôme d'ingénieur Spécialisé, Data Science