Freelancer profile translated to English.
Back to original languageAbout Quentin
With a scientific background and a passion for the world of Data, I wish to put my skills to use in projects covering all areas and to support you as best as possible.
Looking forward to working with you!
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 20km)
Experience
- Fédération Nationale des ChasseursData ScientistENVIRONMENTALApril 2022 - June 2022 (2 months)Paris, FranceThe objective of this project was to automate the process of creating reports containing data analysis and visualization.Process:- creation and saving of generated charts.- creation of specific and reproducible text to describe the charts.
- Office français de la biodiversité | FNCData ScientistENVIRONMENTALJanuary 2022 - April 2022 (2 months)Paris, FranceThe objective was to determine the species, sex, and age of a bird from a photo of its wing. To do this, 3000 images of 4 different species were used.Process:- Extraction of labels by reading a QRCode present on each photo.- Image processing (Resizing, Segmentation, Data augmentation).- Modeling via Transfer Learning using a set of 2 pre-trained models.- Performance evaluation on a validation and test set.- Creation and use of GradCam to validate what the trained model is looking at.- Use of Streamlit for setting up a demo.
- CNRS / Laboratoire de Chimie de la Matière Condensée de ParisData ScientistRESEARCHOctober 2021 - October 2021 (1 month)Paris, FranceThe objective was to classify biological tissues from experimental curves obtained in the laboratory.Process:- Extraction of curves (9600 lines) and corresponding labels into a dataframe.- Data processing.- Creation of new relevant variables and dimension reduction of the dataframe.- Separation of training and validation datasets in a stratified manner.- Modeling with XGBoostClassifier and cross-validation.- Creation of a confusion matrix.- Model interpretability to identify the most important variables.
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Education
- Data ScientistDataScientest2021Formation au métier de la Data science en format bootcamp La formation permet d'acquérir les compétences suivantes: - Programmation (Python) - Base de données (SQL) - Machine Learning (Scikit-Learn) - Deep Learning (TensorFlow, Keras) - Big Data (PySpark) La formation a été également validée par la réalisation d'un projet "fil rouge" ayant porté sur la segmentation de régions nuageuses à partir d'images satellites (lien Kaggle: https://www.kaggle.com/c/understanding_cloud_organization/overview)
- Ph.D. in Physics-Chemistry of MaterialsUniversité Paris 62017- Elaboration de revêtements piézochromes pour l'industrie aéronautique (AIRBUS) pour la détection d'impacts - Dépôt d'un brevet
Certifications
- Python 3 Programming SpecializationCoursera2021
- DeepLearning.AI TensorFlow Developer SpecializationCoursera2021