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Nathan BALLUAISNB
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Nathan BALLUAIS

@nathanballuais

Data Science and AI engineer who developed NLP and booking tools, plus a Docker-deployed Java Spring Boot and Angular SLA monitoring stack.

France
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At Sophia-Antipolis, I worked on an NLP project to make booking tools easier for customers to use. I used a Python backend deployed with Docker, transferred data through an API, and displayed it in an Angular web app.

In Tunis, I created a Java Spring Boot, Angular, and PostgreSQL stack for SLA monitoring and alerting. I defined and implemented REST APIs, displayed the data in an Angular frontend, and deployed the application with Docker and Git versioning.

My projects include a pipeline that cleaned scraped data for dashboards and interactive charts and maps in Python and R. I also predicted customer loyalty by cleaning and encoding data, then building models including RNNs, neural networks, and Random Forest.

I’ve also built a complete chess game in C with a Python AI that predicts an opponent’s moves up to four moves ahead, and a Docker-deployed dashboard using data stored in MongoDB. My tools include Jupyter, TensorFlow, Keras, scikit-learn, Power BI, Postman, VS Code, and JIRA.

Experience

Work history, roles, and key accomplishments

GF

Saisonnier

Grand Frais

Jun 2026 - Sep 2026 (3 months)

Seasonal work at Grand Frais during summer 2026 for 4 months, focusing on teamwork and organization.

SO

Création d’une Stack Java Spring Boot

Sophia-Antipolis

Jan 2025 - Dec 2025 (11 months)

Developed a Java Spring Boot/Angular/PostgreSQL stack for SLAs (Service Level Agreements) with monitoring and alerting. Defined and implemented REST APIs, displayed data on an Angular frontend, and deployed using Docker with Git versioning.

TU

Stage de fin d’étude

Tunisie

Jun 2025 - Aug 2025 (2 months)

Completed a final year internship in Tunisia from June to August 2025.

SO

Projet de Natural Language Processing

Sophia-Antipolis

Jan 2024 - Dec 2024 (11 months)

Worked on a Natural Language Processing project to improve customer onboarding with reservation tools. Used a Python backend deployed with Docker, data transfer via API, and an Angular WebApp. Collaborated in an international English-speaking environment using Agile methodology.

LE

Saisonnier

Leclerc

Jul 2023 - Aug 2023 (1 month)

Seasonal work at Leclerc during summer 2023 for 2 months, focusing on teamwork and interpersonal skills.

ER

ERASMUS Barcelone

ERASMUS

Jan 2023 - Jun 2023 (5 months)

Participated in an ERASMUS exchange program in Barcelona during the second semester of 2023.

SU

Saisonnier

Super U

Jul 2019 - Aug 2019 (1 month)

Seasonal work at Super U during summer 2019 for 2 months, focusing on organization and interpersonal skills.

Education

Degrees, certifications, and relevant coursework

CC

Collège International de Valbonne (CIV)

Classe Préparatoire, Preparatory Classes for Grandes Ecoles (MPSI/MP)

Classe Préparatoires aux Grandes Ecoles MPSI/MP at Collège International de Valbonne.

IF

Institut Fénelon

Baccalauréat S, Sciences

Grade: Mention Très Bien

Baccalauréat S with Mention Très Bien from Institut Fénelon.

ESIEE Paris logoEP

ESIEE Paris

Master 2, Data Science and Artificial Intelligence

Master 2 in Data Science and Artificial Intelligence at ESIEE Paris.

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