Freelancer profile translated to English.

Description

Data scientist with 3 years of experience, developer and entrepreneur, I have developed numerous applications on large and diverse datasets (structured and unstructured). My skill set includes: machine learning, back-end development (python/django, php/symfony, mysql, etc.). I also have CMS expertise to assist you with this tool. I work with open-source technologies because I place great importance on state-of-the-art methods.

Industry field of expertise

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Clermont-Ferrand (up to 50km), Grenoble (up to 50km), Lyon (up to 50km)

UCA
Teacher Researcher
EDUCATION AND E-LEARNING
November 2023 - Today (2 years and 7 months)
Clermont-Ferrand, France
Courses on IT and web security. The research component focuses on the application of deep reinforcement learning in telecommunication networks.
Reinforcement Learning Wifi Crypto Python PHP
Atos
R&D Engineer
DIGITAL AND IT
November 2020 - November 2023 (3 years)
Paris, France
Implementation of a misbehavior detection system in the cloud for cooperative intelligent transport systems (C-ITS) based on reports from connected and autonomous vehicles.
artificial intelligence Web application
Association santé publique
Application proposal related to food for public health.
HEALTH AND WELLNESS
October 2019 - November 2019 (1 month)
Paris, France
OpenFoodFacts Data: https://world.openfoodfacts.org/

Tools used:
- Language: Python 3.6
- Environment: Windows - Anaconda - Jupyter Notebook
- Libraries: Pandas - Numpy - Matplotlib - Seaborn - Scikit-Learn - Scipy - re - nltk - Wordcloud

Work performed:
- Removal of unnecessary variables, duplicates
- Selection of relevant variables for the application
- Imputation of explanatory variables
- Removal of punctuation, accents, numbers, then lemmatization of text variables.
- Univariate analysis: distplot and pie for the distribution of numerical (resp. categorical) variables.
- Outlier detection and removal: boxplot and Grubbs' test
- Multivariate analysis: pairplot, correlation matrix, ANOVA
- Removal of common words (stopwords), word cloud
- Tf vectorization, cosine similarity
- Prediction of nutritional grade using the k-NN algorithm.
Data analysis Data visualisation Machine learning NLP