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Florentin DamFD

Florentin Dam

Senior Data Scientist et développement web python

€600/day
Toulouse, FR
8-15 years
LLM
Machine learning
Big Data
Management d'équipe
Deep Learning

Average response time: 1 hour

About Florentin

Après des expériences réussies pour des clients comme la Commission Européenne, l'Agence Spatiale Européenne, Naval Groupe, Vinci Energies ou EDF, j'ai mené à bien des projets de bout en bout comprenant des activités de collecte de données massives en temps réel, de leurs transformations, de développement de modèles deep learning et machine learning et de leur déploiement en production dans des plateformes web dont j'ai significativement contribué au développement.

Ces missions m'ont permis de développer mes compétences techniques et managériales. J'ai en effet géré des équipes de petites tailles de profils différents tels que des stagiaires, des juniors, des experts et des docteurs en data science et web.

  • French

    Native or bilingual

  • English

    Fluent

  • German

    Conversational

  • Spanish

    Conversational

  • Cantonais

    Native or bilingual

Can work on-site
Toulouse (up to 50km)

Experience

  • Apipana
    Data Software Engineer
    October 2025 - Today (10 months)
    Seville, Spain
    Big Data and Artificial Intelligence for iGaming Projects:

    - Secured AI adoption through technical training, security controls for Claude, and local deployment of LLMs.
    - Managed project migration to production and Disaster Recovery environments using Kubernetes, ArgoCD, Kerberos, Bamboo, and Kafka.
    - Developed real-time data pipelines using Kafka to capture changes in SQL databases (CDC), leveraging Jupyter Notebook and Docker.
    - Implemented large-scale data storage and processing solutions with Hadoop, Apache Iceberg, and Exasol.
    - Collaborated on SQL query optimization to significantly improve application performance.
    - Participated in the integration of development tools (Jira, Bamboo, Crucible, Bitbucket) to enhance team efficiency.
    - Applied version control best practices within the team using Git.
    - Implemented an automated shell-based alert system to detect potential failures in data capture and processing pipelines.
    - Evolved Java-based products to develop new differentiating features.
    Big Data Git Claude Code Data science Python
  • Thanks-Boss
    Technical Director, Data Director, and Founder
    January 2023 - September 2025 (2 years and 8 months)
    Toulouse, France
    - Led the technical aspects of our job and talent recommendation systems.
    - Implemented advanced data science techniques such as NLP and fine-tuning to improve the accuracy of the platform's matching algorithm by 95%.
    - Led a team of 10 developers and data scientists to deliver the project on time and within budget.
    - Collaborated with the marketing team to create targeted campaigns based on user data, resulting in a 200% increase in conversions.
    - Optimized platform performance by implementing DevOps best practices, reducing downtime by 15%.

    Technologies:
    - Data Science: NLTK, spaCy, TextBlob, NumPy, Pandas, NLP, LLM, LangChain, LangFlow, fine-tuning, prompt engineering, and deployment of open-source LLM models (e.g., Mistral, Phi-3, Qwen2.5), AI Agents, RAG, Qdrant, Ollama, CrewAI, MCP, n8n
    - Back-End: Python, Django, Flask, MongoDB, PostgreSQL, SQL, SSE, WebSockets
    - Front-End: Vue.js, Bubble
    - DevOps: Docker, Jenkins, Git, Linux, CI/CD
    - Management & Tools: Jira, Canva, Figma, Notion, Agile Scrum, GitLab, GitHub
    Python Marketing Data science Git MLOps
  • Akka Technologies
    Lead Data Scientist
    DIGITAL AND IT
    January 2019 - January 2023 (4 years and 1 month)
    Toulouse
    - POC Factory 4.0: Developed defect prediction models with +90% accuracy.
    -> Keywords: predictive maintenance, defect prediction, Spark, Scala, real-time data collection, Java, Cassandra

    - Kaggle: Led a team of 2 data scientists to develop models around predictive maintenance with +90% accuracy.
    -> Keywords: defect prediction, Hadoop, Spark, Python, machine learning, deep learning, Docker

    - 5GMETA (European Commission): Led the development of optimization models for route optimization of autonomous vehicles and deployed them in a web app using Django.
    -> Keywords: traffic prediction, route optimization, AGILE, machine learning, deep learning, NiFi, Kafka, Azure, 5G, management

    - EU-SYSFLEX (European Commission): Installed a big data platform and developed algorithms for energy consumption to prepare Europe for up to 50% renewable energy before 2030.
    -> Keywords: energy consumption prediction, AGILE, machine learning, deep learning, big data architect, Django, management

    - ESA: POC for collision risk prediction between satellites and debris.
    -> Keywords: feature engineering, data analysis, model development, management

    - Geosys: Supervised a data scientist for a client requiring segmentation of agricultural plots from satellite images.
    -> Keywords: deep learning, Azure, management, computer vision
    Deep Learning Machine learning Python Pytorch Scikit-learn
Check out Florentin's experience

Recommendations

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Education

  • Master 2 (M2) Diplôme d'Ingénieur généraliste
    EIGSI La Rochelle, école d'ingénieurs généralistes
    2016
    ● Ecole d'Ingénieurs Généraliste de La Rochelle ● 3 premières années (prépa intégrée + cycle ingénieur): - Mathématiques : Probabilité & statistiques pour l'entreprise, Algèbre linéaire, Calcul matriciel avancé, Séries complexes, Développements limités, Calcul intégral des courbes et surfaces, Algèbre & Géométrie dans le plan complexe, Traitement du signal, Analyse numérique, Matlab), etc. - Informatique : Python, R, SQL, HTML, CSS, Java, UML, Réseaux, TCP/IP, Linux, etc. - Mécanique, électronique, thermodynamique, électromagnétique, etc. - Management - Communication et négociations - Marketing - etc. ● Spécialité Mécatronique : - Processus d'intégration - Composants et contrôle/commande - Aspects multiphysiques - Comportement dynamique - Langage C
  • Master 2 (M2) en Ingénierie des Systèmes Intelligents (Intelligence Artificielle)
    Université Pierre et Marie Curie (Paris VI) Sorbonne Universités
    2016
    ● Machine Learning (Analyse de données, Réseau de neuronnes, Deep Leaning, Apprentissage (Non) Supervisé, Classification, Kmeans, KNN, Random Forest, Bagging, Boosting, Probabilités et statistiques, Bayes, etc.) ● Perception et modélisation de l’interaction (Interaction Homme-Machine) ● Traitement avancé des images et du son ● Haptique et réalité virtuelle (Python, Falcon, Blender, etc.) ● Management de l’ingénierie ● Recherche bibliographique en anglais ● Projet intégratif
Check out Florentin's education

Certifications

Florentin's certifications are only visible to Malt Community members

Skill set

Data science
Python
Communication
Django
Pandas
SQL
TensorFlow
Pytorch
keras
Spark
Business development
GPU
Scrum
Java
JavaScript
VBA
Git
Microsoft Excel
Linux
HTML5
CSS
Anglais
Chinois
Espagnol
Allemand
Artificial Intelligence
Blockchain
Software Engineering
Robotics
Business
Data Mining
Analyse de données
Gestion de projet
R
Matlab
XML
C/C++
HTML 5
PHP
Business plan
Google Analytics
Marketing
Rédaction web
Stratégie de communication
HTML
Internet des objets
Scikit-learn
Développement web
Business analysis
UML
noSQL
MongoDB
Neo4j
Architecte logiciel
User Testing
automation
Réduction des coûts
C#
ASP.NET
SQL Server
Microsoft Sharepoint

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