Godefroy Lambert
Data Scientist — Open to opportunities
Passionate about applying data science and machine learning to solve real-world problems.
Experience
- Data Scientist Intern – Verychic (Barcelona)
Performed NLP and topic modeling on product descriptions to enhance hotel recommendation algorithms.
Python, scikit-learn, Tensorflow, spaCy, NLTK
- Embedded software – OMWAVE (Paris)
Developed a Java-based Android application under AOSP for a connected henhouse project, leveraging Firebase for backend services.
Java, Android, Firebase
- Technical lead – Junior ISEP (Student Organization)
Maintained and updated a custom ERP, built with React Typescript and Java Spring Boot. Deployement of projects and feasability checks of missions
React Typescript, Java, Docker
Projects
- Hi! Paris Hi!ckhaton – Honorable Mention for clean code
- Hi! Paris Data Bootcamp
Education
- Master 2 in Data Science – Institut Polytechnique de Paris (Paris)
- Engineering Degree – ISEP (Paris)

Some of my projects
Ladybug classification
A classification project to distinguish between European and Asian ladybugs using RGB and segmented images. Features were extracted manually, and interpretable models like decision trees achieved up to 94% accuracy.
Fairness blog
A concise article that interprets and explains the concepts of ROC and AUC, using insights from a research paper, with emphasis on their implications for fairness in machine learning.
Billboard scraper
An automated Airflow pipeline that scrapes weekly Billboard chart data and uploads it to Kaggle. Originally built for a data engineering project, it ensures up-to-date, structured music chart datasets. 500 lines added each week across various datasets.