Freelancer profile translated to English.
Back to original languageAbout Mehdi
As a Data scientist/Data Engineer, I can assist you with DATA topics such as:
- Developing predictive models to anticipate changes in data and trends related to the company's activity,
- Moving from POC to production deployment of your applications (Modeling, machine learning, AI ...)
- Managing data pipelines, using services appropriate to your needs
- Retrieving and analyzing relevant data related to the company's production process, sales, or customer data
- Building algorithms to improve search and targeting results,
- Other DATA topics to be defined together
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I have had the opportunity to participate in various data projects applied to the digital marketing and Supply Chain universe, while continuing to develop my passion and skills in statistics and modeling.
I am constantly looking for enriching opportunities and topics on both cultural and professional levels.
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Key technologies:
- Python, SQL, Bigquery, GCP, Docker, Airflow, Power BI
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Expertise:
Statistics, Machine learning, Data engineering, Google Cloud Platform, Data exploitation and analysis, Others
French
Native or bilingual
English
Conversational
Remote only
Primarily works remotely
Experience
- DECATHLONFreelance Data Scientist/EngineerCONSULTING AND AUDITSDecember 2022 - Today (3 years and 5 months)Paris, FranceWithin the Data Marketing France team, I work as a **Data Engineer / Analytics Engineer**, with the goal of structuring, validating, and leveraging marketing data to support business performance and decision-making.My mission consists of:
- Designing and maintaining robust data pipelines (ingestion, transformation, modeling) from various marketing and digital sources
- Implementing reliable and documented analytical models, focused on business uses (acquisition, CRM, omnichannel, marketing performance)
- Ensuring the quality, consistency, and traceability of data within the data ecosystem
- Collaborating closely with marketing, product, and data teams to understand needs, translate business challenges into data solutions, and accelerate adoption
- Contributing to a data-driven culture through best practices in analytics engineering (testing, versioning, monitoring, documentation)
This mission is part of a logic of scalability, autonomy for business teams, and business impact, in line with DECATHLON group's data standards.STACK: DBT, Python, PySpark, SQL, Airflow, Databricks, TABLEAU - Maisons du MondeData scientist/ Data EngineerRETAIL (LARGE RETAILERS)July 2021 - December 2022 (1 year and 6 months)Paris, FranceFull Stack Data on CRM, Acquisition, and Supply Chain scopes:- Data collection and transformation- Data analysis- Modeling / ML- Development of code components (Python) and Orchestration (Airflow)- Data restitution in Dashboard (Qlik Sense)- Lifestyle Segmentation (Bigquery ML)- Development of a product replenishment algorithm for stores
- M13hData Science ConsultantCONSULTING AND AUDITSMarch 2020 - July 2021 (1 year and 4 months)Paris, FranceSALTO:- Management of the "Google Recommendation" flow (Flask/Python Framework).- RFM Segmentation: measuring user engagement.- Program Catalog: content flow from the Salto website to carry out audience acquisition campaigns on "partner" sites. (Flask/Python).L'OCCITANE: Analysis of trends/Dashboard for monitoring SEO data from the Adwords API. (Data Studio)FDJ: Dashboard analyzing the contribution of marketing levers to conversions. (Power BI)Lapeyre: Measurement of semantic similarity between product categories to support the SEO team.Skill & You: Geographic AB Test using the "Trimmed-Match" method
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Education
- Master in Digital EconomicsUniversity of Montpellier2017Master 2 (M2), Economie numérique
- Master 2 (M2), Statistics and Applied EconomicsENSSEA National School of Statistics and Applied Economics2015Master 2 (M2), Statistique et économie appliquée