Germain R., Senior Data Scientist

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Description

Data Scientist since 2017, I offer my skills in two types of services:

- Data Mining, to better understand your data through analysis and visualization.

- Machine Learning to develop products that precisely meet your needs.

Working process:

We will determine together the best way to address your problem and I will support you at each stage of your project:

- Analysis of your problem and needs assessment.

- Identify the necessary data.

- Processing and cleaning to make them usable.

- Analysis and visualization to fully understand your data.

- Development of a POC to validate project feasibility if needed.

- Model development and optimization.

- Industrialization and deployment in production.

Some tools:

- Languages: Python, SQL.

- Machine Learning: Scikit-learn, XGBoost.

- DataViz & Business Intelligence: Power BI, Dash, Plotly.

- Data processing: Pandas, Numpy, Scipy.

- Databases: MySQL, Elasticsearch.

- Deployment: Gunicorn, Flask.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Marseille (up to 50km)

+Simple
Data Scientist
BANKING AND INSURANCE
March 2018 - Today (8 years and 3 months)
Marseille, France
Creation of APIs for a recommendation system in Python.
Creation of a Dash application to visualize conversion funnels for different platforms.
Automation of various internal and external reports (sftp, email, sharepoint) + dashboards (Power BI, Metabase).
Python Data visualisation Data science Machine learning
Capgemini
Data Scientist
TECH
September 2017 - March 2018 (6 months)
Aix-en-Provence, France
Text mining with Python and Spark for predictive maintenance.
Implementation in Python of various 'pair trading' strategies.
Data Science Machine learning Python Data visualization
SESSTIM
Statistician
EDUCATION AND E-LEARNING
November 2016 - August 2017 (10 months)
Marseille, France
E-learning project focused on creating a website to help Master's students in Public Health learn the statistical approach to data analysis and a language to do it (R was chosen).
I was in charge of the entire statistical part:
- Choice of methods to consider.
- Choice of different difficulty levels.
- Design of exercises.
- Design of data.
R Machine learning data visualization

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Signup to reveal

Master in Mathematical Engineering and Modeling
Aix-Marseille University
2016

Data Scientist

Analytics Consultant