STFreelancer profile translated to English.
Back to original languageAbout Stephanie
Data Scientist
- Understand business team issues
- Define a strategy to address these issues
- Collect, understand, and clean data (Python, Pandas)
- Train, test, and optimize machine learning models (Logistic Regression, Clustering, LLM)
- Present results
Data Analyst
- Respond to business team requests
- Collect and understand data
- Create KPIs
- Present results in a dashboard (Google Looker or PowerBI)
Data Engineer
- Create a flow to read and aggregate data in a datamart (SQL, ETL)
- Develop a project with Gitlab CI/CD
- Deploy the project by integrating it into a pipeline (GCP)
- Integrate code evolutions
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- CarrefourData ScientistRETAIL (LARGE RETAILERS)July 2023 - July 2024 (1 year)Bruxelles, BelgiumProject:Extract topics and sentiments from customer feedbackContext:Carrefour listens to its customers and wants to understand their feedback to implement action plans.Tasks:
- Understand the issues of the customer excellence teams
- Test the use of LLMs for understanding feedback
- Create a dashboard
- Create a data pipeline for collecting and anonymizing feedback
Results:- Excellent model performance, correctly identifying topics/sentiments for 90% of feedback
- Time savings for the customer excellence team, allowing them to focus on action plans.
- Internal communication that sparks interest from other teams managing feedback.
- Project industrialization
Technical Environment:Google Cloud Platform, Google VertexAI, Google PaLM, Python, SQL, Google Dataform, Google BigQuery, Google Looker, Gitlab CI/CD, Name Entity Recognition - CarrefourData AnalystRETAIL (LARGE RETAILERS)January 2023 - December 2023 (11 months)Bruxelles, BelgiumProject:Create KPIs and a dashboard for the loyalty programContext:Carrefour wants to offer its customers an attractive loyalty program.Tasks:
- Understand the loyalty team's issues
- Create KPIs to understand the relevance of personalized promotions
- Implement a data pipeline
- Create a dashboard
Results:- Loyalty team satisfaction
- Industrialization of the data pipeline for dashboard automation
Technical Environment:Google Cloud Platform, SQL, Google Dataform, Google BigQuery, Google Looker - CarrefourData ScientistRETAIL (LARGE RETAILERS)April 2022 - October 2022 (6 months)Bruxelles, BelgiumProject:Migrate the creation of the personalized offer reservoir to Google Cloud PlatformContext:Carrefour offers personalized promotions to its frequent customers each month. This project needs to be migrated to Google Cloud Platform.Tasks:
- Analyze the existing algorithm and implementation
- Write the new code for creating personalized offers based on the most frequently purchased products by the largest number of customers.
- Test the obtained results
- Deploy the project
Results:The project was migrated on time without interruption to the personalized promotion programTechnical Environment:Google Cloud Platform, Google VertexAI, Python, Scikit Learn, Clustering
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Education
- Data Science Career TrackSpringboard2019Data Science Career Track
- HSK level 5 Advanced MandarinConfucius Institute2010HSK level 5 Advanced Mandarin