Freelancer profile translated to English.
Back to original languageAbout Romain
Hello 👋
I am a developer specializing in **Web Scraping**, **Big Data**, **Automation**, and **DevOps**.
-> The services I offer (**non-exhaustive list** )
✔️ Web scraping: bypassing the most robust anti-bot defenses.
✔️ Automation: automatic filling of Excel/Google Sheets files, automation of web actions
✔️ Deployment of tools in the Cloud or on your machines
✔️ Creation, Integration, and use of APIs
✔️ Data cleaning and processing
-> What are my work tools?
🔹 Languages: mainly Python
🔹 Software databases: SQL databases, MongoDB, Redis
🔹 DevOps: CI/CD, Docker, AWS, Azure
-> What are my concrete experiences?
Degree 👨🎓: Mines Nancy, ranked 7th in the L'Étudiant 2023 ranking
Professional experiences 👨💻
✔️ 2 startup experiences (Data Engineer/Web scraping)
✔️ 1 Data experience in a Scale Up
✔️ +20 Freelance experiences, mostly in web scraping (+50 websites)
Feel free to take a look at my LinkedIn profile for more info!
Looking forward to meeting you.
French
Native or bilingual
English
Fluent
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- OfficeIn
On Malt
Web ScrapingJune 2024 - June 2024Web scraping of a PDF database- a method that retrieves metadata in JSON format- a method that retrieves the desired PDF - Prestacom TeksatWeb ScrapingJune 2024 - June 2024- Web scraping of a private directory (result in CSV format)- Deployment of scraping code at the client's premises on their machines
- WEBkrenoWeb ScrapingFebruary 2024 - February 2024I collected a large part of the contact database of French driving schools.
Reviews
Théo
OfficeIn
Reviewed on 1/15/2025
Second mission with Romain. Always clean and quickly delivered code.
S
Stéphane
Leclerc
Reviewed on 12/4/2024
Romain was very efficient with excellent communication. He is proactive, which makes projects easier to manage.
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Education
- General Engineering Degree (Specialization in Mathematics & Computer Science)Ecole Nationale Supérieure des Mines de Nancy2023#---3rd year: IT Department (Minor IA)---# - Software engineering and Advanced networks - Computational Neurosciences and Robotics - Machine/Deep Learning (advanced) - Scalable Architectures for Big Data #---2nd year: Applied Mathematics Department---# - Probabilities and Stochastic process - Partial Differential Equations (PDEs) - Statistics and Monte Carlo method - Machine/Deep Learning (introduction) -Data Analysis -Time Series -Introduction into programming C/C++ #---1st year: Generalist---# - Numerical analysis - Probabilities - Bayesian statistics - Quantum mechanics - Statistical physics - Computer Science
- Preparatory class for Grandes Écoles, MP*Lycée du Parc2020Classe préparatoire aux grandes écoles, MP*