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Description

Expert in scientific analysis and international trade issues, I work across many sectors.

From understanding needs to business recommendations, I analyze your data to create value through various tools:

- Machine Learning

- Data visualization (Shiny, Dash)

I provide training in data science for international organizations (UN, ...) and in various countries.

Skills:

- Machine Learning

- Scrapping

- Data architecture

- Automation

- Creation of visualization tools

Available by email and LinkedIn, I would be delighted to discuss your projects with you.

My daily rate is indicative and varies depending on the complexity of the mission.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Spanish
Basic

Workplace preferences

Can work on-site

Annecy (up to 50km), Paris (up to 10km), Lausanne (up to 50km), Genève (up to 50km)

Agence française de développement
Data Analyst
PUBLIC SECTOR
January 2024 - Today (2 years and 5 months)
Paris, France
RShiny application development
Financial data analysis
Project monitoring
International Trade Centre
Market data analyst
RETAIL (LARGE RETAILERS)
September 2019 - July 2022 (2 years and 10 months)
Geneva, Switzerland
Performed data analysis and modeling
Managed big data projects
Developed a standalone application to generate indices, detecting outliers and
heterogenous series
Developed and implemented data visualization tools to present complex data in
a clear and concise manner
Managed and maintained databases to ensure data accuracy and integrity
Collaborated with cross-functional teams to identify and analyze market trends
and patterns
Automatize data processing steps
Develop imputation methods to replace missing values and outliers for the
computation of trade indices (by AI predictive modeling)
r R Shiny Microsoft Power BI Microsoft Office MySQL SAS Machine learning Data visualisation Automation Training Training and e-learning
INSEP - Institut National du Sport, de l'Expertise et de la Performance
Data Scientist / Research scientist
RESEARCH
November 2020 - December 2023 (3 years and 2 months)
Paris, France
Utilized Python and R to clean and preprocess large datasets for analysis
Collaborated with cross-functional teams to identify key business challenges
and provide data-driven solutions
Developed predictive models for customer behavior
Implemented machine learning algorithms for improved customer segmentation.
Developed application for data visualization
Developed machine learning model (supervised learning et unsupervised
learning)
Presented findings and insights to senior management through data
visualizations and reports, facilitating data-driven decision making
Publication of an article in a scientific journal on the results of data-driven policy
analysis
Analysis of the impact of climate change on sports performance

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Master MIASHS - Statistics and data sciences, Mathematics and computer science
Université Grenoble Alpes
2019
Master MIASHS - Statistics and data sciences, Mathématiques et informatique
Bachelor of Economics
Université Grenoble Alpes
2017
Bachelor of Economics - Business Option Management, Economie Gestion

Check out Yann's education

Yann R.

Data Analyst

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