CV

Deputy Head of Data Science

PRIMEVER

• As Deputy Head of Data Science at PRIMEVER, I work closely with the Head of Data Science to oversee the department’s projects, ensuring quality and relevance.
• My role includes coordinating teams, developing advanced analytical strategies, and implementing innovative solutions.
• My primary goal is to contribute to the growth and ongoing success of PRIMEVER in the fruit and vegetable transportation sector.

Research & Development Engineer

IMT Atlantique, LABSTICC, MOTEL

• Implementation of algorithms for the design of collaboration indicators on text documents (NLP)
• Building a neural network model (with SpaCy) to extract mathematical formulas from textual documents
• Dashboards design and implementation

Mentor (Freelance)

Openclassrooms

• Monitoring students (three for the moment) to obtain their degree in the following three training paths; Data Scientist, Data Analyst and Machine Learning Engineer
• Defenses participation in these last three paths

Research and Teaching Associate

INSA de Rouen Normandie

• Teaching Statistics, Machine Learning and mathematics (Algebra)
• Researcher at the LITIS laboratory
• Supervising, Wei LU, a master 2 student in his graduation project. The project concerns parametric estimation applied to portfolio optimization in finance

Lead Manager

WeBuzz

• Leading a team with a full stack developer, designer and a data analyst
• Development of a commercial detection program in a live video with OpenCv
• Media data analysis and reporting
• Creating website and making advertisement on social networks for our costumers

Footwear Manufacturer

Ramo chaussures

• Management of men's shoe manufacturing (family business)
• Raw materials purchasing manager

PhD in Applied Mathematics

Université de Rouen Normandie & ENSSEA

• Estimation d'une matrice d'échelle
• Supervised by Dominique Fourdrinier and Fatiha Mezoued

Master degree in stochastic modeling and forecasting in operations research

Université des Sciences et de la Technologie Houari-Boumédiène (USTHB)

• Research internship in stochastic volatility models classical and Bayesian estimation

Bachelor's degree in statistics

USTHB

• Research internship in Markov chain Monte Carlo (MCMC) method and variance reduction techniques

• Inferential, descriptive and Bayesian statistics
• Linear Algebra
• Time series

• Supervised and unsupervised (Naive Bayes, Knn, ...)
• Clustering hierarchical, non-hierarchical, DBSCAN, ...
• Decision theory estimation
• Regression multiple, ridge, lasso, ...
• Linear and non-linear dimension reduction (ACP, t-SNE, UMAP

• Data visualization; Tableau prep builder, Tableau desktop
• Programmation; Python (SpaCy, Pandas, Numpy, Keras, Scikit-learn, Matplotlib, OpenCv, ...), R and Matlab
• SQL data bases
• Regression multiple, ridge, lasso, ...
• Development & Communications; Git, Github, MLflow, Docker, ...

• Thoroughness and perseverance
• High capacity for analysis and synthesis
• Organized, dynamic, motivated and versatile

• Tableau prep Builder
• Data Science

• Shrinkage estimation
• Algebra
• Teaching Statistics and Machine Learning

• I am a curious and passionate person interested in data sciences new things
• I am also passionate about cinema, soccer, new technologies and video-games