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Vincent CastaignetVC

Vincent Castaignet

Senior data analyst / scientist / AI consultant

€630/day
7 projects
Paris 6e Arrondissement, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Vincent

With30 years of experiencein various forms of data analysis (financial analysis,data analysis,**modeling,**BI**) **,I offer my services toaccelerate decision-makingthroughdataand **AI**, in the form of:
.Auditsof data infrastructure, workflows, data models, queries (SQL), calculation scripts (Python, R), and visualization tools
.Recommendationsfor decisions on digital strategy, marketing, HR, and IT systems
.Very rapidanalysis ofcomplex datasets(**surveys** /questionnaires, exports from analytics tools or studies), thanks to aproprietary applicationthat producesinsights**, **recommendations**, and **CTAsina few minutesand allowsiteratingthe analysis under **different hypotheses**.
.Data science and analysis**: exploration/descriptive analysis, collection and preparation, modeling (predictions, segmentation, recommendations, optimization), causal inference, insight generation, executed in **Python and delivered inCI/CD/gitOps mode.
.LLM**: development of POCs combining LLM ( **RAG,**agentic** models) and modeling (Python library foradvanced statistics**), with applications in **Streamlitdeveloped very quickly.
.BIanddata governance
. Business areas:marketing**, **web analytics**, **SEO/GEO,**product innovation** (algorithms serving UX), **HR**, or **operational optimization**.
. **Analytics engineering**: management of ETL/ELT tools for populating datamarts/DataWarehouses (Airbyte, Airflow, dbt, BigQuery, Amazon Athena/Glue)
. Project management, AMOA, **Product Owner**, using agile methods (SCRUM, Jira)

My portfolio is available here:
Feel free to call me to discuss your data projects.
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris 6e Arrondissement (up to 50km), Paris 6e Arrondissement (up to 30km)

Experience

  • Missions diverses
    Data Analysis & Strategy
    CULTURE
    August 2022 - Today (3 years and 9 months)
    Paris, France
    Missions:
    - Handball TV (12/2024 - 10/2025):
    . setup ofdashboardsonQuickSightfor monitoring about 50 marketingKPIs(levers for audience generation, subscriber conversion,...)
    .analytics engineeringon the data pipeline (Amazon **Athena**, **Glue**, QuickSight).

    - Trendeo (06/2023 - ...):
    . **exploratory analyses**: on the source database, consisting of about 50 variables (quantitative, categorical, dates, geographical, and long descriptive texts), and **identification of the most appropriate model families**.
    . creation ofpredictive models(in **Python**) for macroeconomic indicators (job creation/destruction).

    - Research project "Echo Chambers" (02/2023 - ...):
    .advanced questionnaire analysis**: handling of **missing data**, segmentation (clustering by Kmodes with selection of statistically significant attributes), **LLM-based persona assignment
    . measurement of the impact of enriched metadata on discoverability (experimental design, **DOE**),
    .SEOandRSOanalysis of the impact of metadata on discoverability
    . analysis of relationships between metrics (usingRandom Forest**, **ALEs**, and **SHAPmethod, in Python).

    - AlgoBrain (11/2023 - 01/2024):
    . detailed analysis of the AI/language market, technologies,typologiesof **players**, and their **strategies**.
    . definition of thepositioningandmarket penetration strategyfor the target market.

    - iiconi (09-11/22):
    . definition of KPIs for monitoring theconversion funnelon the site (up to product purchase) and **CRM campaign performance**,
    . setup of dashboards onPowerBI**, queries on **SQL Serverfor ad hoc analyses.
    . management of the ESN developing the application in PO/SCRUM mode
    Data Analysis Data Visualization Machine Learning Python 3 Business Intelligence
  • Pernod Ricard HQ
    Data analyst
    AGRICULTURE
    December 2021 - June 2022 (7 months)
    Paris, France
    Marketing segmentation:
    - creation of digital audience profiles/personas across the entire customer journey in 12 countries (Asia, America, Europe, Africa), and for specific market targets, using GWI (Global World Index) panel data.
    - mapping of targets in terms of sociodemographic data, psychographics, interests, behaviors (including media and social networks), and target consistency/hierarchy.
    - data analysis: segmentation/clustering, statistical confidence threshold on raw panel data.
    Data Analysis Segmentation Market Intelligence
  • ESG
    Big data course applied to the music industry (Master 2)
    EDUCATION AND E-LEARNING
    October 2016 - June 2022 (5 years and 8 months)
    Paris, France
    Synopsis of the course I designed and taught in Master 2:
    - mapping of data exchanges in the music industry value chain
    - the 4Vs of big data
    - data valorization
    - behavioral data
    - recommendations
    - Big Data project management
    - identifiers
    - audio indexing and identification technologies (Music Information Retrieval)
    - statistical models
    - Big Data tools
    - dataviz and dashboards
    Big Data Machine Learning Statistics Data Visualization Dashboard

Reviews

5.0

Out of 4 ratings

Aufrech LasiaAL

Aufrech Lasia

Aufrech Solutions

Reviewed on 12/19/2022

I highly recommend him.
BillyB

Billy

Martell & Co

Reviewed on 1/11/2022

Vincent has been amazing to work with. Flexible, professional and has added value from day 1 of our project. I highly recommend him.

Recommendations

Aufrech Lasia Dollo MoukokoAL
FU
Aufrech Lasia Dollo Moukoko and 1 other person have recommended Vincent

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Education

  • Finance
    ISG
    1989
    Ecole de commerce.
  • Advanced Statistical Modeling
    CNAM
    2023
    STA110: modélisation statistique (sélection de modèles, validation, interprétation) dans un contexte général (données continues, discrètes, qualitatives, mixtes) via l'utilisation de méthodes paramétriques (modèles linéaires et modèle linéaire généralisé) ou non-paramétriques.

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