Suppression des références à la section mathématiques dans la documentation et le code, mise à jour du profil d'Arthur Danjou avec des informations détaillées sur ses compétences et objectifs de carrière.

This commit is contained in:
2025-11-15 16:09:45 +01:00
parent 3624f8139c
commit 732c163f4e
6 changed files with 70 additions and 89 deletions

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@@ -117,7 +117,6 @@ All resources are also available as REST API endpoints:
- `GET /api/educations`
- `GET /api/languages`
- `GET /api/certifications`
- `GET /api/mathematics`
- `GET /api/profile`
- `GET /api/hobbies`
- `GET /api/contact`
@@ -151,7 +150,6 @@ content/
├── skills.json # Technical skills
├── languages.json # Spoken languages
├── certifications.json # Professional certifications
├── mathematics.json # Mathematics background
├── profile.json # Comprehensive profile info
├── contact.json # Contact information
├── hobbies.md # Personal interests
@@ -198,7 +196,7 @@ Private project - All rights reserved
## 👤 About
**Arthur Danjou**
- Software Engineer & Mathematics Student
- Developer enjoying Artificial Intelligence and Machine Learning. Mathematics Student at Paris Dauphine-PSL University specialised in Statistics
- 📍 Paris, France
- 🔗 [LinkedIn](https://go.arthurdanjou.fr/linkedin)
- 🐙 [GitHub](https://go.arthurdanjou.fr/github)

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@@ -112,10 +112,6 @@ export default defineContentConfig({
}))
})
}),
mathematics: defineCollection({
type: 'page',
source: 'mathematics.md'
}),
profile: defineCollection({
type: 'page',
source: 'profile.md'

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@@ -1 +0,0 @@
TODO: complete

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@@ -1,34 +1,70 @@
TODO: complete and convert
# Arthur Danjou
**Data Science & Applied AI**
{
"shortBio": "Software Engineer & Mathematics Student passionate about AI, Data Science, and Infrastructure. Building scalable solutions at the intersection of theory and practice.",
"location": {
"current": "Paris, France",
"timezone": "Europe/Paris (CET/CEST)",
"remote": true
},
"availability": {
"status": "open_to_opportunities",
"types": ["internship", "full-time", "part-time", "freelance"],
"preferences": ["remote", "hybrid"],
"startDate": "2025-06"
},
"careerGoals": [
"Become an expert in Machine Learning Engineering and MLOps",
"Contribute to open-source AI/ML projects",
"Build scalable data infrastructure for real-world applications",
"Combine mathematical rigor with practical engineering solutions"
],
"workPreferences": {
"workStyle": ["remote", "hybrid"],
"companySize": ["startup", "scale-up", "enterprise"],
"industries": ["AI/ML", "Data Science", "FinTech", "SaaS", "DevOps"],
"roles": ["Machine Learning Engineer", "Data Engineer", "Software Engineer", "MLOps Engineer"]
},
"achievements": [
"Built and maintained personal homelab with 10+ self-hosted services",
"Developed mini-games for Erisium, one of the largest French-speaking Minecraft servers",
"Created multiple full-stack applications using modern web technologies",
"Active contributor to various technical projects and communities"
]
}
Rigorous, curious, and motivated, I put my skills in statistics, machine learning, and applied artificial intelligence to work on concrete and innovative projects[cite: 9]. Passionate about mathematical modelling and the deployment of AI solutions, I enjoy transforming theory into measurable results[cite: 10].
## 📞 Contact & Links
* **Email:** `arthur.danjou@dauphine.eu`
* **Portfolio:** `go.arthurdanjou.fr/portfolio`
* **GitHub:** `go.arthurdanjou.fr/github`
* **LinkedIn:** `go.arthurdanjou.fr/linkedin`
## 📍 Location
* **Current:** Paris, France
* **Timezone:** Europe/Paris (CET/CEST)
* **Remote:** Open (confirmed by "REMOTE" experience)
## 🗓️ Availability
* **Status:** Available for a final-year internship.
* **Start Date:** **April 2026**.
* **Contract Types:** Internship (priority).
## 🎯 Career Goals
* To join a team of Data Scientists or AI Researchers to deepen my knowledge.
* Contribute to high-impact projects.
* **Prepare for a future doctorate in artificial intelligence**.
* Become an expert in Machine Learning Engineering and MLOps.
* Combine mathematical rigor (from education) with practical engineering solutions (from experience).
## 💼 Work Preferences
* **Target Roles:** Data Scientist, AI Researcher.
* **Industries:** AI/ML, Data Science, Health, DevOps.
* **Work Style:** Remote, Hybrid.
* **Company Size:** Startup, Scale-up, Enterprise.
## 🏆 Notable Achievements
* Administration of a personal home lab (servers, databases, storage, backups) for MLOps experimentation since 2022.
* Implemented daily data cleaning pipelines on Azure with PySpark, enhancing data quality by 20-30% at Sevetys.
* Design, development, and maintenance of web, data, and cloud projects (Python, TypeScript, Nuxt 3) via ArtDanj Production.
* Developed an automated monthly data quality report (completeness, consistency) for business teams.
* Former rugby team captain, participating in the French school championships.
## 📚 Education & Core Competencies
### Paris Dauphine-PSL University (MSc)
* **Dual Expertise:** Theory & Practice in Advanced Data Science and AI Systems.
* **Core Theoretical Focus:** Strong background in statistical modeling and advanced AI principles (Advanced Machine Learning, Learning Theory, Clustering, Deep Learning, Climate Risk Modeling).
* **Practical Skills:** Hands-on experience in NLP, Reinforcement Learning, Generative AI, Data Quality, and Data Visualisation.
* **Key Courses (M1/M2):** Supervised Statistical Learning, Generalised Linear Models (GLMs), Monte Carlo Methods, Data Analysis, Non-parametric Statistics, Time Series, Numerical Optimisation.
* **Active Engagement:** Scheduled participation in the Natixis and DIRISI Hackathons.
### Technical Skillset
* **Programming:** Python, R, TypeScript, Java, Git, LaTeX.
* **Libraries & Frameworks:** NumPy, Pandas, Scikit-learn, PyTorch, Matplotlib, Seaborn.
* **Databases:** SQL, Redis.
* **Cloud & DevOps:** Proxmox, Docker, Azure, Linux, SysAdmin.
### Statistical & AI Modeling
* **Multivariate Data Analysis:** Principal Component Analysis (PCA), Correspondence Analysis (CA), clustering techniques, correlation analysis.
* **Supervised Learning:** k-NN, linear and logistic regression, CNN, Naive Bayes.
* **Unsupervised Learning:** Clustering, dimensionality reduction, k-means, CNN.
* **IA & Modern Models:** Natural Language Processing, Transformers, Large Language Models, AI agents, embeddings, and fine-tuning.

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@@ -1,10 +0,0 @@
import { queryCollection } from '@nuxt/content/server'
export default defineCachedEventHandler(async (event) => {
return await queryCollection(event, 'mathematics')
.where('extension', '=', 'md')
.first()
}, {
name: 'mathematics-list',
maxAge: 3600 // 1 hour
})

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@@ -237,25 +237,6 @@ function createServer() {
}
)
server.registerResource(
'artmcp-mathematics',
'resource://artmcp/mathematics',
{
title: 'Arthur Danjou - Mathematics',
description: 'Get information about Arthur Danjou\'s background and knowledge in mathematics, including areas of expertise and academic achievements'
},
async (uri) => {
const result = await $fetch('/api/mathematics')
return {
contents: [{
uri: uri.href,
mimeType: 'application/json',
text: JSON.stringify(result, null, 2)
}]
}
}
)
server.registerResource(
'artmcp-profile',
'resource://artmcp/profile',
@@ -534,25 +515,6 @@ function createServer() {
}
)
server.registerPrompt(
'artmcp-mathematics',
{
title: 'Get Mathematical Background Knowledge of Arthur Danjou',
description: 'Get information about Arthur Danjou\'s background and knowledge in mathematics, including areas of expertise and academic achievements'
},
async () => {
return {
messages: [{
role: 'user',
content: {
type: 'text',
text: `Provide me information about Arthur Danjou's background and knowledge in mathematics, including areas of expertise and academic achievements.`
}
}]
}
}
)
server.registerPrompt(
'artmcp-profile',
{