Freelancer profile translated to English.

Description

I created Stats & Go to help you leverage your data using data science, while maintaining an accessible vocabulary and presentation adapted to your expressed needs. My goal is therefore to process your data to provide you with operational and strategic decision-making information.

To achieve this, I can summarize my interventions in three major steps:

- Listening to the decision-maker's needs, regardless of their level of decision-making in the company.

- Applying statistical methods to extract answers to the raised questions from your data.

- Presenting the results using pedagogy and data visualization methods.

In addition, Stats & Go has been approved for the Research Tax Credit (CIR) by the Ministry of Higher Education, Research and Innovation since 2020. This allows client companies working on an eligible R&D project to use my services while benefiting from a tax advantage (tax credit equal to 30% of my R&D fees).

Languages

English
Conversational
French
Native or bilingual

Workplace preferences

Can work on-site

Rennes (up to 50km)

Harmonie Mutuelle
Data Scientist
BANKING AND INSURANCE
September 2021 - December 2022 (1 year and 4 months)
Rennes, France
Data scientist contractor within the Marketing Department - Studies & Data unit
Big Data Versatility Data Visualization Marketing Project Management SAS Microsoft Power BI Data Science Pedagogy Meeting Facilitation
KPAM
Implementation of a Decision Support Tool
CONSULTING AND AUDITS
August 2020 - September 2020 (1 month)
Statistical analysis of survey data for the implementation of an automatic selection tool for priority and atypical subjects (statistical indicators, simulations).
Verification of consistency between hypotheses and commercial discourse.
Listening Simulation Excel Method Data Analysis Decision Support Statistics
AYOR _ Hammel
Improving Knowledge of New Customers
CIVIL ENGINEERING
May 2020 - May 2020 (1 month)
Assisting the client in redefining their commercial strategy by providing statistical analysis of new customer characteristics since late 2018 (how do they consume? where are they? what interactions did they have with the company before their first order? etc.)
Improving knowledge of new customers allows for the implementation or adaptation of commercial campaigns (frequency/contact method) for loyalty purposes.
Data Visualization Data Analysis Marketing Study Decision Support Microsoft Excel Results Support R

Check out Laetitia's experience

Pierre

Source

Reviewed on 7/12/2021

Laetitia was very professional and responsive for a data analysis mission (implementation of a KPI dashboard: churn, LTV, cohorts...) for a B2B SaaS. We will definitely work with her again!!