CV

Email / Website / LinkedIn / GitHub

💻 Experience

Author @ Editions ENI (Jan 2024 - Present)

• Business Intelligence with Python 🐍 (Jan 2025)

Deep Learning Project Mentor @ DataScientest (Apr 2023 - Present)

• Mentoring several groups of learners on the subject of computer vision and deep learning.
• Building skills with deep learning methodology, and also helping learners mastering tools such as TensorFlow and OpenCV.
  • Technologies used: Python, TensorFlow, OpenCV, Streamlit, Gradio.
    
    

Data Analyst Mentor @ OpenClassrooms (Apr 2021 - Present)

• Supporting students skills development in data analysis
• Monitoring the production of deliverables (10 projects)
• Created a project for a new learning path (BI Analyst)
• Beta tested new projects for OpenClassrooms
  • Technologies used: Python, Tableau, SQL, Scikit-learn, knime.
    
    

Jury for Artificial Intelligence Developer Certification @ Simplon.co (Jan 2023 - Present)
Jury for Microsoft / Simplon.co / GRETA 21 Artificial Intelligence Developer certification.

Marketing Intelligence & Data Teacher @ INSEEC (Oct 2022 - Present)
Teaching a course about AI and applications in Marketing :

• Introduction to AI
• Marketing Analytics
• GDRP
• Data Governance
  
  

Data Analyst / Scientist @ EDF (Apr 2019 - Present)

• Dashboard development and maintenance for the executive committee
• Tools developement for operationnal management in cooperation with managers
• Automation of data processing and dashboards updating
• Machine learning : churn predictions, recommander systems, etc.
  • Technologies used: Python, Power BI, QlikView, SQL, Luigi.
    
    

Cost Estimator EDF (Oct 2018 - Mar 2019)
As part of the EPR 2 project, realization of various cost studies on passive safety systems, civil engineering, etc.

Engineer EDF (Nov 2014 - Sep 2018)

• Responsible for calculation codes : Documentation, V&V, bug tracking, animation of the user community and training sessions (10 to 20 users per year).
• Safety studies in the field of “Accessibility of buildings under accident conditions” (EPR and new models)
• Development of Python tools for the automation of calculations and the processing of results
• Qualification studies of equipment under severe accident conditions
  
  

Engineer EDF (Oct 2009 - Oct 2014)

• Support to the project managers for maintenance operations on nuclear power plants
• Writing of radiation protection study notes
• Use of calculation codes: PANTHERE, MNCP X, GEANT 4
  
  

📌 Volunteering

Volunteer @ Data for Good (May 2023 - Present)
Worked on data quality issues on Carbon Bombs project :

• Webscraping to complete a database about oil and gas projects
• Used LLM to get missing data from webscraping
  
  

Book Reviewer & beta tester @ Manning Publications (May 2023 - Present)
Book reviewing:

• Data Analysis From The Trenches, Gabriel Rigall
• Software Engineering For Data Scientist, Andrew Treadway
• Solve Any Data Analysis Problem!, David Asboth

liveProject beta testing:

• Anomaly Detection Under the Hood, Sergio Solorzano

⚙️ ML & AI Projects

SQL Questiosn for job interviews Try my web app here
This tool is designed for those looking to test their SQL skills on a database in production. Database is deployed on render.com server and the app on 🤗 HuggingFace.

• Technologies used: Python, PostgreSQL, Gradio
  
  

Data Engineering Pipeline [Work still in progress]
The aim of this project is to provide a data engineering template to process data and make it easily accessible.

• Technologies used: Python, Pydantic, Dbt, DuckDB, Flask
  
  

Meeting to Summary Code available on my Github here
The aim of this tool is to make people more productive at work by automatically producing meeting minutes from a video recording.

• Technologies used: Python, LLM, Transformers, Pydub, MoviePy
  
  

PhilosopherGPT Try my web app here
This project gives you the chance to talk to some of the world’s greatest philosophers, and helps you in your daily life.

• Technologies used: Python, OpenAI API, Qdrant database, Sentence Transformers, Streamlit.
  
  

Watch Movement Finder Try my web app here
I’ve hand-collected a database of a thousand images of vintage chronograph movements (for the moment). The model detects 17 different movements with an F1 score close to 99%. I used a ResNet152 CNN.

• Technologies used: Python, FastAI, Streamlit.
  
  

Cancer detection Try my web app here
This project was carried out with Ummon HealthTech, who provided us with a dataset. The aim of this model is to identify metastatic cancer (and associated grade) in small image patches extracted from larger digital pathology scans.

• Technologies used: Python, TensorFlow, Streamlit.
  
  

📜 Certificates

2023
edX - Large Language Models - Application through Production
OpenCV - Deep Learning with PyTorch
DeepLearning.AI - Generative Adversarial Networks (GANs)
2022
DeepLearning.AI - TensorFlow Developer
DataCamp - Data Engineer with Python
INRIA - Machine Learning in Python with Scikit_learn
2021
DataCamp - Data Scientist Professional
2020
edX - Data Science Professional
Imperial College London - Mathematics for Machine Learning
2018
IBM - Data Science Professional
StanfordX - Machine Learning

🗺 Languages

French: Native
English: C1
Spanish: B2

🎓 Education

Data Science Certification
Mines PARIS Executive Education - Remote (Nov 2021 - Aug 2023)

MBA General Management
IAE Paris Sorbonne Business School - Paris (Sep 2012 - Aug 2014)

Master Corporate Finance and Management
Paris 1 Sorbonne Panthéon - Paris (Sep 2012 - Aug 2014)

Engineer Degree in Electronics and Applied Physics
ENSICAEN - Caen (Sep 2006 - Aug 2009)