Freelancer profile translated to English.
Back to original languageAbout Valentin
For 10 years, I have been supporting companies in data projects combining technical expertise (Python, SQL, Cloud) and business understanding. For 4 years, I have been offering my services as a Freelance consultant.
I work on various issues: advanced analysis, model creation, segmentation, NLP, generative AI, optimization of Cloud solutions, or strategic support on complex data projects.
My background has allowed me to work with renowned companies from diverse sectors such as luxury and retail (Chanel, Galeries Lafayette, Pernod-Ricard, Hennessy), banking and finance (Crédit Agricole, BPCE, Milleis Banque) or others (la Française des Jeux, INSERM).
My key skills:
• Technical expertise: Python, SQL, BigQuery, Cloud environments (GCP, Azure, and AWS).
• Advanced analysis: Causal analysis, segmentation, strategic studies
• Data Science and Machine Learning: NLP, scoring, clustering, time series forecasting, rare event detection (fraud, anomaly, etc.)
• Strategic vision: aligning business needs with operational data solutions.
• I have recently developed skills in generative AI (LLM, RAG, LangChain, etc.) which I apply in my current role.
I particularly enjoy working at the interface between technology and business to transform data into a lever for performance and decision-making.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 10km)
Experience
- Pernod RicardData Scientist - Matrix ProjectWINE AND SPIRITSMarch 2025 - Today (1 year and 5 months)Paris, FranceThe concept of the Matrix project is to evaluate the impact of marketing actions (various advertisements, sample distribution, events, etc.) on sales, in isolation. Technically, this is known as MMM (Marketing Mix Modeling). This project is deployed in Pernod-Ricard's main markets.My mission takes place within the Asia team. I am specifically working on India. The achievements are as follows:• Modeling preparation: Discussions with various departments, particularly local ones. Various studies to examine, for example, the feasibility of potential additions to the scope or to verify the quality of certain data.• Feature engineering in production pipelines. Implementation of fixes for problematic data (e.g., incomplete series). Adaptation of production code to market specificities.• Modeling: Adaptation of the model to the market. Tuning of the model's various variables, parameters, and hyperparameters.• Discussions with business stakeholders to validate the consistency of the model's conclusions with their expectations, model adjustments based on their feedback.• Deployment of the model on various user interfaces.
- MédiamétrieFeasibility Study for Migration from SAS using AIPRESS AND MEDIANovember 2024 - March 2025 (4 months)Paris, FranceThe company where I am working uses SAS almost exclusively for its data projects. This includes 11 teams, about fifty production processing chains, and ad hoc studies. This company wishes to stop its contract with SAS in the medium term and migrate to a more recent data architecture.The objective of this mission is to conduct a feasibility study by auditing the existing system, defining a target architecture, and then estimating the cost of the migration.One of the main difficulties encountered was the volume of SAS scripts to analyze: approximately 3,000 scripts in production and over 700,000 lines of code. Due to this volume, a manual approach was not feasible. I therefore implemented automatic analysis tools using artificial intelligence:
- Use of an LLM via the Azure API and prompt optimization to describe each script and extract potential complexities
- Use of regular expressions to calculate various KPIs for script volume and complexity
- Use of an LLM to generate data flow diagrams describing the scripts (via draw.io)
- Script similarity analysis using various text analysis tools such as Levenshtein distance and clustering algorithms
- CHANELData AnalystLUXURY GOODSMarch 2023 - January 2024 (10 months)Paris, FranceI carried out my mission within the Data Analysis team, which itself is part of Chanel Europe's Digital department.My mission consisted of supporting various business units, such as top management, product managers, and campaign managers, by conducting quantitative studies to help them solve their problems.Typical examples of studies conducted:
- Why did sales of product X decrease over the last year? What actions could be taken to boost sales?
- The new communication channel Y has been in testing for several months. Does it have a positive impact on sales, all else being equal?
The technical environment was on Microsoft Azure (Azure AI Machine Learning Studio, SQL Server, Azure DevOps).
Reviews
El Mustapha
Galeries Lafayette
Reviewed on 5/30/2022
Recommendations
FU
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Education
- Master MASERATIUniversité Paris-Est Créteil2016Econométrie, statistiques et analyse des données
- Bachelor's Degree in Economics, Mathematics, and DecisionsUniversité Paris-Est Créteil2014Economie, mathématiques et économétrie
Certifications
- AWS Certified Machine Learning - SpecialtyAmazon Web Services2020
- AWS Cloud PractitionerAmazon Web Services2020