Freelancer profile translated to English.

Description

With 7 years of experience in Data, I have worked in large groups such as Kering, BPCE, and Pernod Ricard. My main tasks included data processing/cleaning, quality verification, and dashboard creation and updates. I also worked on data science projects using Dataiku and Alteryx (I am Alteryx Advanced certified). I master visualization tools like Tableau and Power BI, as well as R, Python, and SQL languages.

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Kering
Data Analyst & Product Owner
LUXURY GOODS
May 2022 - Today (4 years and 1 month)
Paris, France
Mission 1: Data Analyst
In the context of migrating the customer database for all Kering houses, the mission aims to support business and Tech teams on data quality topics.

One specific topic concerns the internalization of a database cleansing and deduplication service, previously handled by an external provider.
The main tasks are as follows:

• Inventory existing deduplication and cleansing rules
• Implement these rules using Python scripts
• Perform comparative analyses between obtained results and expected results (from the external provider)
• Present these analyses to the business to modify/improve and then validate the rules one by one with the business (a Kering house)
• Once the rules are validated, communicate the results with each of the other houses
• Write technical specifications and validate them with the Tech team for industrialization

Mission 2: Data Product Owner

Within Kering's Customer Domain, I act as Data Product Owner for the Customer Profile squad. This squad is responsible for all customer personal data (names, addresses, phone numbers, emails, etc.). In addition, I am responsible for industrializing the deduplication process, continuing from my first mission. In this context, the tasks are as follows:
• Gather needs from the business or other clients (business or technical)
• Study the context and feasibility of the request
• Transmit the request to the developer in the form of specifications in a Jira ticket for implementation and production
• Perform UATs
• Write documentation

Result
• Twelve deduplication rules implemented on GCP in production and running daily. Duplicates in the customer database are now identified internally.
Python AWS SQL Microsoft Power BI Cloud GCP
Pernod Ricard
Data Analyst
WINE AND SPIRITS
June 2021 - February 2022 (8 months)
Paris, France
In a digital transformation context, Pernod Ricard is launching its KDPs (Key Digital Programs). I am involved in one of them called Matrix. This is a tool built using machine learning to help the business optimize its marketing investments across touchpoints and brands. The project is carried out in 2 initial stages: deployment and "refresh".
My role was data analyst for the Spain refresh.

My tasks were as follows:
Ensure the smooth functioning of the process for adding new data so that the data scientist can easily re-run the model
Cooperate with the various stakeholders in the process (business, data scientist, data engineer, cleansing team)
Collect new data with the help of the local data steward. Different sources for different types of data (media, sell-out, sell-in, trade marketing…)
Ensure that all necessary data (brands, touchpoints, and period) are collected with the correct granularity
Participate in the definition and optimization of processes, including automation
Write guidelines for the cleaning team to format the data. Create workarounds if necessary.
Create a mapping table to ensure a unique taxonomy across data sources
Design dashboards and validate data with each data steward
Analyze the risk of integrating a new data collection tool
Snowflake SQL Microsoft Power BI Python Databricks
Nexans
Technical Project Analyst (Apprenticeship)
ENERGY AND UTILITIES
September 2016 - September 2017 (1 year)
Paris, France
Within the Industrial Department, participated in the scoping of about ten digital transformation projects in the form of POCs, for the improvement of productivity and cost reduction in factories (e.g., Peanuts to measure temperature in factories, implementation of virtual reality for training).
Followed about ten digital projects across 3 main themes: Big Data, IoT, 3D Printing
Data Analytics project with the IT department for the reduction of production costs and better use of raw materials (data collection, cleaning, analysis, presentation of results) using Dataiku
Deployment of digital projects
Dataiku Python