Description

Data Scientist – Machine Learning / Agents / LLM / Excel Expert

Core Data Science & ML Skills

Development and deployment of Machine Learning models (classification, regression, time series, NLP) using Python libraries (scikit-learn, XGBoost, CatBoost, PyCaret)

Large Language Models (LLM): prompt engineering, fine-tuning, integration with AI agents, and building end-to-end pipelines

Model evaluation, hyperparameter tuning, cross-validation, and performance optimization

Feature engineering, data preprocessing, and handling missing data for robust model inputs

Multi-output regression and classification for complex business problems

Automation & Data Engineering

Automated data pipelines using Python (pandas, numpy) and integration with APIs for real-time data ingestion

Advanced Excel: dynamic dashboards, complex formulas, pivot tables, VBA scripting, and data visualization for business insights

Power BI & Google Data Studio: creating interactive reports and dashboards for KPI tracking

Data wrangling and ETL workflows, including SQL queries and cloud data tools

Natural Language Processing & AI Agents

Text classification, sentiment analysis, topic modeling, and named entity recognition using transformer-based models

Implementation of AI agents frameworks (LangChain, LlamaIndex) for automated decision-making and information retrieval

Multimodal AI applications combining text and image data for enhanced analytics

Technical Skills

Programming & Data Science: Python (pandas, scikit-learn, PyTorch, PyCaret), R

Data Engineering: SQL, Snowflake, DBT, Google Cloud Platform (GCP), Microsoft Azure

Data Analysis & Automation: Advanced Excel, Google Sheets (custom scripting & API integrations), Airtable

Visualization & BI: Python, Power BI, Google Data Studio

AI & Automation Frameworks: LangChain, LangGraph, LlamaIndex, Zapier, RESTful API integration

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Accenture
AI & Data Scientist
SOFTWARE PUBLISHING
April 2025 - Today (1 year and 2 months)
Developed and deployed advanced machine learning models to solve complex business problems across diverse industries, improving decision-making and operational efficiency.

Worked on end-to-end AI projects, from data ingestion and preprocessing to model training, evaluation, and deployment, ensuring scalable and robust solutions.

Integrated Large Language Models (LLMs) and AI agents into client workflows to enhance automation, natural language understanding, and customer engagement.

Collaborated with cross-functional teams including business stakeholders, engineers, and data analysts to align technical solutions with business goals.

Automated data pipelines and workflows, leveraging Python scripting and cloud-based tools for real-time data processing and monitoring.
LangGraph Langchain AI Agents Google Cloud Platform (GCP) LLMs
Pernod Ricard
Data Scientist
AGRICULTURE
March 2024 - September 2024 (5 months)
Paris, France
At Pernod Ricard, my experience as a Data Scientist has been profoundly impactful and technically enriching. Python served as the backbone of my operations, where I utilized most of the key libraries for Data Science. I ensured code industrialization through best practices in version control, unit testing, and continuous integration, which facilitated seamless model deployment and maintained robust, scalable, and maintainable code.

SQL proficiency was essential for extracting, manipulating, and analyzing large datasets stored in relational databases. Writing efficient SQL queries allowed me to streamline data processing and ensure the accuracy of data feeding into my models.

Azure DevOps played a crucial role in enhancing collaboration. I used it for version control, CI/CD, and project tracking, ensuring a smooth and agile development process.

Working in a collaborative environment, I engaged with cross-functional teams, translating complex data insights into actionable recommendations that drove tangible business outcomes.
Programmation Python Machine learning Microsoft Excel Microsoft Power BI Microsoft Azure
HUAWEI
Huawei Student Developers (HSD) Campus Ambassador in France
October 2021 - September 2023 (1 year and 11 months)
Paris, France

- Develop a clear strategy to attract, engage and retain a community of students interested in new technologies.
- Plan and coordinate events such as workshops, conferences, seminars or hackathons, with a focus on new technologies and Huawei products.