Technical stack

Data science, machine learning, DevOps tools:
- Spark: PySpark, data frame manipulation, data exploration, database queries, machine learning
- FastAPI: implementation of web REST API for the machine learning models, interaction with MongoDB for data persistence
- Flask: creation of web application with HTML templates in order to deploy and use the machine learning models
- Docker, Cloud: machine learning model containerization (integrating Flask), deployment on servers in the Cloud
- Kubernetes: container orchestration, service management and scalability, deployment on servers in the Cloud
- AWS, GCP cloud: selection and setup of servers for deployment and storage, Nginx web server
- Git/GitHub: collaborative work and version control (focused on Python machine learning package), pull and merge requests
- Dash - Plotly: creation of dashboards, dynamic graphs with Plotly, and integration in a web application with Dash
- Data collection: SQL queries (MySQL, SQLite), NoSQL(MongoDB), web scrapping, JSON and API, CSV files
- Data analysis: Numpy, Pandas, Data visualization, data exploration, feature engineering
IT skills: unit tests, Python, R, C, SQL, HTML, CSS, PHP, Java, shell scripting, Ansible, Vagrant
Knowledge: computer tools, programming, machine learning, artificial intelligence, applied mathematics, statistics, probability, data science, nanoscience and nanotechnology, materials science, mechanics, fundamental physics, chemistry
Know-how: scientific expertise, data processing and analysis, in-depth and objective analysis, teaching, scientific survey, implementation of innovative axes with research tools and methods, research project management, management and resolution of complex problems, experimental physics

Teaching

2018 - 2020: Teacher, Instructor, Monitor Paris-Saclay University
- Teach students (double degree) the courses and tutorials of numerical approaches with Python
- Suggest improvements to the courses, tutorials, examinations, and evaluate the students’ level
- Anticipating student difficulties in the course and in the implemented platform
- Monitor L1 students in the framework of their professional project

Experience

10.2017 - 09.2020: scientific researcher, CEA Saclay
- Assemble the main part of the experimental setup to measure several optical properties of nano-objects
- Leading innovative research activities in nanoscience in collaboration with chemists
- Schedule and carry out experimental measurements, interpret results, draw conclusions
- Implement Python programs to efficiently process and analyze experimental data
- Write reports and describe the progress of conducted activities: discuss and exchange with peers
03.2017 - 07.2017: research engineer assistant, ENS Paris-Saclay
- Conduct literature research and consolidate scientific knowledge for the project
- Realize, by using several platforms, samples to be characterized
- Schedule and perform fluorescence microscopy experiments, interpret data and results
2012 - 2013: web developer apprentice: setting up a dynamic website (Part time)
- Design the different web pages with HTML and CSS
- Integrate a dynamic feature with PHP and MySQL: save user IDs

MOOCs

Education

Degree	University	Start date	End date
Full stack data science	VIVADATA Paris	01.2021	04.2021
Ph.D. in nanoscience	CEA - Paris-Saclay University	10.2017	09.2020
Master 2 - nanophysics	Paris-Saclay University	09.2016	09.2017
Master degree - material science	University of Yaounde 1	09.2014	07.2016
Preparatory classes / Bachelor	Le Mans Univesity	2011	2014

Languages

French (Mother Tongue)
English (Professional working proficiency)

Interests

Science and technology popularization
Data science, machine learning, deep learning
Volunteering, exchanges, general culture
Sports (fitness, bodybuilding, sports programs)
Music (listening)