Freelancer profile translated to English.

Description

Data Scientist specialized in fraud, churn, scoring, and data automation topics, with over 5 years of experience in banking, insurance, and telecommunications.

I help risk, audit, marketing, and performance teams leverage their data to solve concrete problems with high business impact.

I work on fraud detection, scoring, churn, customer segmentation, audit analytics, and control automation using Python and SQL.

I am involved in the entire value chain: scoping, data preparation, modeling, industrialization, and reporting.

Examples of achievements:

- reduction of fraud rate from 35% to 2.8%

- development of churn and customer segmentation models

- automation of data controls for audit missions

- creation of an AI-based document search engine

I operate in demanding environments with high expectations for reliability, traceability, and business impact.

Industry field of expertise

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

BRED Banque Populaire
Data Scientist - General Inspectorate
BANKING AND INSURANCE
June 2025 - Today (1 year and 2 months)
Joinville-le-Pont, France
Data support for internal audit and General Inspectorate missions, with strong emphasis on reliability, traceability, automation, and operational efficiency.

Achievements:

- data preparation, controls, tests, and targeted analyses for audit missions
- design of automated data tests to detect anomalies, inconsistencies, and weak signals
- implementation of robust and reproducible data pipelines
- automation of recurring data collection, cleaning, control, and reporting processes
- development of an AI-based document search engine to leverage audit reports, procedures, and histories
- contribution to the efficiency of inspectors and knowledge capitalization

Stack:
Python, SQL, NLP, Generative AI, automation, data quality, audit analytics
Generative AI Python Programming Audit SQL Automation
Free Mobile
Data Scientist
TELECOMMUNICATIONS
January 2023 - May 2025 (2 years and 4 months)
Montpellier, France
Involved in strategic fraud, churn, and performance management topics in a large-scale data environment.

Achievements:

- design and deployment of fraud detection models for phone rentals
- reduction of fraud rate from 35% to 2.8%
- development of predictive churn models to feed targeted retention strategies
- implementation of advanced segmentations to improve customer knowledge and marketing effectiveness
- creation of interactive dashboards for KPI monitoring and decision support
- creation, maintenance, and evolution of industrialized data and AI products

Technical Environment:
Python, SQL, MLflow, Airflow, ClickHouse, MySQL, MongoDB, Tableau, Streamlit, Grafana
data-integration Data science SQL Python Programming Fraud detection
Harmonie Mutuelle
Data Scientist
BANKING AND INSURANCE
March 2020 - December 2022 (2 years and 9 months)
Laxou, France
First Data Scientist in the team within a Statistics / R&D unit, with the objective of introducing data science approaches into existing practices.

Achievements:

- structuring and disseminating data science methods in statistical and R&D work
- development of customer segmentation models to improve behavior understanding
- building predictive models to anticipate churn
- calculation and exploitation of customer value to guide retention and offer strategies
- supporting business teams in adopting a data-driven approach
- creation of decision-making dashboards for performance management

Technical Environment:
Python, R, SQL, SAS, PySpark, Power BI
SQL Data science SAS Enterprise Guide Customer knowledge Python