Freelancer profile translated to English.
Back to original languageAbout Wilfried
I am a graduate engineer from Ecole Polytechnique de Paris, with a specialization in data science and operational research.
My skills acquired over 4 years (in consulting at MPData and then KPMG Advisory) make me capable of handling subjects ranging from the design and development of APIs (Python dev, data science) to CI/CD pipelines (gitlab, github), deployment (docker, virtual machines, security), and complete cloud architecture pricing for your project's production.
I also work on all GenAI topics with experience in developing MCP servers and developing/optimizing RAG pipelines.
Already certified AWS * 3, Azure * 2, Snowflake and Terraform
- Azure Data Engineer (DP203)
- AWS Solution Architect Associate
- AWS Machine Learning Speciality
- AWS Developer Associate
- Hashicorp Terraform Associate
- Databricks Data engineer Associate
I have already had the opportunity to apply my knowledge with groups such as Veolia Eau France, Rte France, Vinci Autoroute; and startups such as Fantasiapp.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Can work on-site
Paris (up to 50km), Toulouse (up to 10km), Montpellier (up to 10km), Lyon (up to 10km), Bordeaux (up to 10km)
Experience
- Crédit Agricole SA – IGL (LoD3)Expert Data & AI Consultant – AML Models Audit LCB-FTBANKING AND INSURANCESeptember 2025 - December 2025 (3 months)Paris, FranceCrédit Agricole SA - IGL (LoD3)ContextInternal audit mission (IGL - LoD3) with Compliance (DDC) on AML (Anti-Money Laundering) AI models, complementing deterministic scenarios.- Documentation + Python code + data review;- Regulatory framework (ACPR/NP 2024-44, AI Act)- Formulation of operational recommendations for control implementation.Impact / Results- Supported IGL for 2 major findings (documentation & compliance) and 8 structuring recommendations;- Provided the operational framework for committees- Action plan (binding thresholds, readable explainability, continuous quality control).Made a reusable framework available to teams (table models, report templates, SOM evaluation scripts) to accelerate the control of AI models in AML.Stack & ToolsPython (NumPy, Pandas, Matplotlib), MLflow, Git, YAML/JSON, Jupyter, PowerPoint/Excel, Palantir Foundry (deterministic scenarios), DQ rules (Data Expectations), SOM (custom implementation).
- Opella (Groupe pharmaceutique)Data Engineer / Data EngineerLOGISTICS AND SUPPLY CHAINMay 2025 - September 2025 (4 months)Paris, FranceContext and ObjectivesMission within a major international pharmaceutical group (Opella) as part of a complete overhaul of the data architecture for business teams (Commercial, Market, Customer Interaction).Main Objectives:- Ensure the reliability of repositories and cross-domain flows- Improve data quality and traceability- Industrialize quality and consistency checks between systems (CRM, ERP, Market, Territory, Harmony)Responsibilities and Achievements- Design and implementation of an analytical data architecture on Snowflake- Development of complex business views (Order Management, Market, Customer Interaction) and Product MDM- Implementation of advanced Data Quality rules:- Coverage tests for cross-referencesDetection of discrepancies between ERP / CRM / product and customer repositories- Implementation of a parameterized testing framework (reusable templates, declarative rules)Analysis and correction of ERP ↔ CRM discrepancies (order number, product code, country)- Management of multi-country / RLS / data compliance issues- Close collaboration with business and IT teams (Data Owners, Architects)
- AWB (Banque multinational Africaine)Data & AI EngineerBANKING AND INSURANCEDecember 2024 - April 2025 (4 months)Paris, FranceData & AI Engineer – AWB (Banque française mutualiste)Context:Mission within the largest African bank as part of a strategic initiative to combat fraud and money laundering across all its branches.Achievements:- Design and implementation of an AI algorithm to detect suspicious activities (optimization of the AML/CFT process).- Development of a real-time scoring pipeline for banking transactions.- Integration of models via API with the bank's IT system (batch & real-time).- Close collaboration with compliance and data science teams.Technical Stack:Azure, Python, Scikit-learn, LightGBM, Azure ML, CI/CD, SHAP, REST API
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Education
- EngineerEcole Polytechnique de Paris2022Data Science et Recherche opérationnelle
Certifications
- AWS Solution Architect AssociateAWS2023
- AWS Machine Learning SpecialityAWS2023