Freelancer profile translated to English.

Description

Data Scientist Consultant with 9 years of experience in Data Science with a strong aptitude and certification for GCP Data Engineering, I also have a solid background as a web developer. I help companies to fully leverage their data by designing adapted technical solutions, while ensuring optimal management of flows and infrastructures. My goal: to transform data into a strategic lever for performance while respecting good development practices.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Nantes (up to 50km)

Onepoint - BPCE SI
Data Scientist
March 2021 - January 2025 (3 years and 10 months)
Nantes, France
DATA SCIENCE: Scoping, development, and production deployment of strategic group use cases for the Marketing and Customer Life Events department.
Prediction of individual customer relocation to initiate advisor discussions and offer specific products
• Project scoping, construction, and analysis of the training target
• Modeling and prediction scoring
• Analysis of model stability and robustness, and presentation of results
• MAD AI / MLOps: Migration to GCP and industrialization of a data science application for classifying pending decisions (MAD) movements
• Cost estimation and project scope
• Model retraining and optimization
• Deployment and presentation of results to business stakeholders
• WEB Navigation Data on BP website/app
• R&D on exploring more innovative methods and algorithms (Time series, graph-based algorithms, RNN neural networks, LSTM, CNN)

Technologies: Jupyter (Vertex AI), VSCode, GCP (BigQuery, Vertex AI Workbench, Compose), Airflow, Python, PySpark, SQL
DATA ENGINEERING: Migration to the cloud and industrialization of "Customer Events" use cases in GCP
• Migration of SQL code and queries to GCP
• Technical specifications for the GCP application
• Modeling of table architecture and data flows
• Jira card cost estimation
• Development and translation of classic SQL queries into BigQuery queries
• Definition and writing of SQL query unit tests in Python (Pytest)
• Functional acceptance testing and comparison with on-premise results
• Scheduling of application execution with Google Composer (Airflow)
• Development of scheduling scripts (DAGs)
• Deployment with the CI/CD pipeline in the Cloud
• Testing scheduling in MAP environments
• Deployment to DEV and PROD
Technologies: VSCode, Python, SQL, BigQuery, Google Storage, Airflow, Git BitBucket, Teradata, Sqldeveloper, XLD, XLR, Jenkins, Sonarqube
My Money Bank
Data Scientist
June 2020 - February 2021 (8 months)
Nantes, France
• Analyze marketing campaign returns to evaluate their profitability
• Optimization levers in targeting were proposed to the Marketing department
• Development of a score for propensity to subscribe to offered products
• Maintenance of an API for categorizing bank statement transactions
• Improvement and retraining of the existing categorization model, support for acceptance testing, deployment, and internal API rollout
• Deployment and internal API rollout Technologies: Python, AWS SageMaker, Flask, Docker, GitLab, SQL, SAS
Veolia
Data Scientist
October 2018 - June 2020 (1 year and 8 months)
Aubervilliers, France
Development of an internal API for predicting collection point fill rates —> API deployed and a gain of €15 per collection point/month Technologies: GCP (Google App Engine, BigQuery, Datastore, Cloud Functions) AWS (Amazon S3, Amazon SageMaker, AWS Lambda, AWS IoT Greengrass, AWS IoT) Python, R, SQL, GitLab