Freelancer profile translated to English.

Description

Passionate about data, I help my clients transform their figures into decision-making levers. Specializing in data analysis and machine learning, I assist companies in better understanding their business, automating their processes, and anticipating the future through prediction.

Why me?

- Clear communication & accessible explanations for your teams

- Autonomy, rigor, and quality deliverables

- A business & impact-oriented perspective, not just technical

How to describe me?

- Explorer: searches for data in unknown territories

- Curious: doesn't miss essential information

- Calculator: loves numbers

- Bilingual: easily switches from French to statistical language

- Caricaturist: reformulates, simplifies, diagrams

- Keen detective: finds solutions tailored to business problems

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lyon (up to 10km)

Enedis
Data Analyst
ENERGY AND UTILITIES
July 2023 - Today (2 years and 11 months)
Lyon, France
**Context**: A leading French electricity distribution company, managing a network of over 38 million Linky smart meters. Need: Industrialize data analysis to monitor network performance and anticipate software updates.

**Mission**: Automate and optimize the processing of operational software data from Linky meters, in collaboration with technical and business teams, to improve network performance and operational decision-making.

**Key Results**:
Development of an automated ETL in SQL/Python (Polars), reducing processing time by 75% and data storage space by a factor of 3.
Creation of Power BI/Tableau dashboards for performance monitoring (communication rates, anomalies).
Decision support with a statistical approach (A/B Testing) to evaluate the impact of a software update on network performance.
Python SQL Microsoft Power BI Tableau software
IA School, Supinfo, Le Wagon
Data Science & Machine Learning Trainer
EDUCATION AND E-LEARNING
October 2022 - June 2023 (9 months)
Lyon, France
**Context**: Providing training in Data Science & Machine Learning for diverse audiences: career changers and upskilling professionals. Objective: Make advanced technical concepts accessible and prepare learners for real-world AI challenges in companies.

**Mission**: Design and deliver theoretical and practical courses on key AI topics, adapting content to participants' levels. Focus on the business application of algorithms and real-world problem-solving.

**Key Results**:

- Created or adapted educational materials (slides, quizzes, Jupyter notebooks) for modules such as:
* Statistics and Probability: Fundamentals for modeling and data analysis (EDA, hypothesis testing, ANOVA)
* Supervised/Unsupervised Machine Learning: Regression, classification, clustering (KMeans)
* Time Series: Modeling temporal data with ARIMA
* NLP: Natural Language Processing and RNNs with transformers
- Project support: Guided groups on real-world cases (e.g., book recommendation algorithm based on viewed movies, cyclist power prediction)
- Trained 100+ learners (students, professionals), with a 92 NPS satisfaction rate (post-training evaluations)
Pedagogy Simplification Jupyter NLP Time Series
Amadeus
Data Scientist
TECH
December 2021 - October 2022 (10 months)
Sophia Antipolis, France
**Context**: R&D project at Amadeus (world leader in travel technology) aimed at developing a recommendation platform for tourist activities.

**Mission**: Design, train, and evaluate an AI model capable of categorizing tourist activities (museums, hiking, cycling, etc.), exploring different approaches to maximize system accuracy and adaptability.

**Key Results**:
Multi-class NLP classification (TF-IDF, BERT) with 92% accuracy on the test set.
Improved training dataset quality by annotating tourist activity descriptions.
Experimented with 3 approaches (supervised, unsupervised, semi-supervised) and selected the optimal model.
Python Scikit-learn NLP TensorFlow