Freelancer profile translated to English.

Description

Hello,

Data Scientist for over 6 years in various environments, I have developed comprehensive expertise and great autonomy in data project management.

Versatile and autonomous, I master the entire data project lifecycle:

- Problem definition and solution design.

- Building robust and reliable data pipelines.

- Developing predictive or analytical models.

- Deploying models for large-scale production.

- Presenting and leveraging results through dashboards and performance tracking over time.

My projects always aim to generate direct and measurable impact on company performance, by proposing reliable, sustainable, and easy-to-maintain solutions. I also place great importance on skill transfer to ensure team autonomy after each project.

Throughout my career, I have contributed to solving diverse and complex problems:

- Dynamic pricing: advanced modeling to maximize the effectiveness of pricing strategies.

- Clustering and scoring: customer segmentation and development of personalized marketing strategies.

- Geospatial analysis: using geographic data for strategic management.

- Accuracy measurement: creation of a protocol based on representative sampling and Bayesian approaches.

- Visualization: Definition and tracking of North Star KPIs.

I integrate quickly into new technical and organizational environments. My goal is to bring real added value by collaborating effectively with teams and transforming data into impactful decision-making tools.

Feel free to contact me to discuss your projects!

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Nebesta
Datascientist
SOFTWARE PUBLISHING
March 2025 - Today (1 year and 3 months)
Paris, France
Leverage LLMs and other data science models to design, evaluate, and optimize AI-based customer service solutions at scale.
Analyze over a million conversations across 7 sectors (insurance, banking, mobility, marketplaces, etc.) to identify high-ROI workflows for LLM automation.
Design and implement a batch processing framework for LLM inferences on large-scale sensitive internal data.
Apply RAG to ensure contextual relevance and consistency of FAQ responses.
Perform unsupervised clustering from LLM embeddings to detect recurring agent behaviors and frequent user intents.
Develop LLM-based anonymization pipelines to process sensitive customer data in highly regulated sectors.
Compare LLM pipelines with classic NLP and NER approaches to measure the performance and accuracy of generative methods.
Conduct audits on data from millions of exchanges to evaluate and improve the performance of human and AI agents.
LLM NLP RAG NER MLOps
Checkout.com
Senior Data Scientist
BANKING AND INSURANCE
July 2024 - December 2024 (5 months)
Paris, France
Responsible for data valorization within the identity verification team (e.g., Ubble).
• Modeling and implementation of an accuracy measurement protocol based on a Bayesian method of representative sampling and an optimized alert threshold.
• Development of dashboards for real-time monitoring of an automated identity verification solution's performance (without human intervention).
• Maintenance and evolution of the analytical platform (DBT, Snowflake) to ensure data and report reliability.
• Support for internal stakeholders and clients by responding to ad-hoc data analysis and reporting requests.
• Development of a technical chatbot for sales representatives using RAG with Gemini – Hackathon.
DBT Snowflake Python OCR Looker
Lydia
Senior Data Scientist
BANKING AND INSURANCE
November 2023 - June 2024 (7 months)
Paris, France
In charge of data expertise within the user account squad.
Develop and implement new data-driven features in the app, notably "The Expense Report".
Design and implement user action tracking plans.
Establish a data ambassador program for the business.
Participate in the recruitment of data analysts / scientists / head of data.
Data Analysis NLP Big Query Amplitude Metabase