Freelancer profile translated to English.
Back to original languageAbout Victor
50,000 photos processed in 3 minutes, 1000+ PDFs automatically classified: I design high-performance data systems that add value to my clients.
I can assist you throughout the entire data value chain: from raw data extraction and cleaning to deploying Machine Learning models in production on AWS. My approach combines technical rigor with business pragmatism to deliver measurable results.
My recent achievements:
Doris Engineering: Development of an automatic extraction and classification system for 1000+ technical PDFs using the Claude API. Benchmarking of ML models with advanced feature engineering and anti-overfitting strategies.Full pipeline deployable in production.
Fashion Business Consulting: Design of a photo processing SaaS on a serverless AWS architecture. Result: 50,000 images can be processed in under 3 minutes thanks to distributed Lambda workers.Scalable and cost-effective solution.
RATP: File automation with Python scripts.
Technical Stack:
• Languages: Python (Pandas, NumPy, Scikit-Learn, Keras, Regex), SQL
• Cloud & DevOps: AWS (Lambda, S3, EC2, DynamoDB, Cognito), Docker,
• Machine Learning: supervised/unsupervised algorithms, Deep Learning, NLP
• Generative AI: Claude API, OpenAI, Anthropic
• Data Engineering: ETL pipelines, web scraping, Big Data processing
• Tools: Jupyter, Git, Advanced Excel
French
Native or bilingual
English
Fluent
German
Basic
Can work on-site
Paris (up to 10km)
Experience
- Capgemini Consulting - Capgemini InventData ScientistMarch 2026 - Today (3 months)Within Capgemini, I joined a forecasting project for a major international group. I am therefore developing skills in Python, Forecasting, and Google Cloud (GCP).
- Doris EngineeringData Scientist & Engineering InternApril 2025 - September 2025 (5 months)• Presentation of 3 solutions (Cloud / On premise / API) for data processing, followed by the implementation of one solution:• Generation of a structured database through the development of a system for structuring information: classification and feature extraction from over 1000 technical PDFs using the Claude API (batch/streaming).• Benchmarking of machine learning algorithms on the created dataset: creation of relevant derived features, encoding, implementation of anti-overfitting strategies, and definition of an evaluation metric adapted to operational requirements.• Technologies: Python (Pandas), LLM API (Claude), Scikit-Learn,
- Fashion Business ConsultingCloud ArchitectJanuary 2025 - March 2025 (2 months)• Presentation of 2 solutions (Cloud / Windows Software) for data processing, followed by implementation:• Design of a simple SaaS with a scalable cloud architecture capable of processing over 50,000 photos in under 180 seconds using distributed AWS Lambda workers for parallelization.• Technologies: AWS (Lambda, Request, DynamoDB, Cognito), OpenAI API, Excel,
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Education
- Engineering DegreeECE ParisMajeur Data & AI, mineur Cloud.
- Preparatory Class for Engineering Grande Écoles (CPGE) PCLycée Turgot, Paris2023J'ai effectué une classe Préparatoire aux grandes écoles d'ingénieur en filière PC, développant ma rigueur
Certifications
- AWS Academy Graduate - Cloud Architecting - Training BadgeAmazon Web Services2025