Description

I am a passionate and driven young person who is keen to be challenged on business issues requiring data science skills. From your data, I try to empower your business by analysing it, defining new relevant KPI or developing predictive models

Graduated from Centrale Lille with a master in Data Science, I keep on improving my skills by challenging myself on new dataset or by learning new technologies.

Alongside, I am an independent coacher training people on Data Science (Python | R) and SQL fields.

Let's have a talk, I will be pleased to answer any questions !

Nicolas

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▪️ DATA SCIENCE :

- Help define your need the stake of your project

- Extract the data from your database

- Clean and build supervised or unsupervised learning models to get high performances

▪️ DATA ANALYST :

- Help you define KPIs

- Analyse your data to give back statistics to help your teams

- Build dashboard to visualize the indicators

Langues

Anglais
Bilingue ou natif
Français
Bilingue ou natif
Espagnol
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km), Bordeaux (jusqu’à 10 km), Lyon (jusqu’à 10 km), Toulouse (jusqu’à 30 km)

AIRBUS DE
Recherche opérationnelle
AÉRONAUTIQUE & AÉROSPATIALE
octobre 2022 - décembre 2023 (1 an et 2 mois)
Toulouse, France
Créer à partir des données existantes un modèle permettant d’optimiser
des plannings en intégrant des contraintes métiers et physiques.
Modélisation du problème mathématique, développement entier du
workflow de pre-processing des données, développement et fine-tuning du
modèle, unit-testing des contraintes. Déploiement de la solution sur AWS

Stack technique : Python, Gurobi, pandas, plotly, streamlit, AWS
Python Gurobi Pandas Plotly Amazon Web Services Unit Testing
CHU Bordeaux
Data scientist
SECTEUR MÉDICAL
septembre 2020 - décembre 2020 (4 mois)
Bordeaux, France
Applied research in Natural Language Processing projects (NLP) which aims to study the validity of prescrition pertinence indicators on anticoagulants (blood thinners) for patients diagnosed with an atrial fibrillation at the Bordeaux University Hospital Centre.

Supervised learning (Python) methods used on patients textual data for classification tasks
Unsupervised learning methods used on the data to get clusters of patients on different diseases.

Work with Oracle tools to create SQL requests used to extract the raw data.
Work on Python to analyze, clean and model (machine learning).
Data science Data visualisation Python Scikit-learn Pandas SQL NLP Git
John Crane
Fullstack Developer
INGÉNIERIE MÉCANIQUE
mars 2019 - août 2019 (6 mois)
San Francisco, États-Unis
Development and deployment of a web app for predictive maintenance. The app parses data from excel files, launches batch simulations by a running Python process, prints results and graphs on the front-end part

Frontend : Angular - Angular Material
Backend : Node.js
NoSQL Database MongoDB
Angular Node.js MongoDB noSQL Python Data visualisation Git