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75 lines
3.7 KiB
Markdown
75 lines
3.7 KiB
Markdown
---
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title: Arthur Danjou - Data Science & Applied AI Student.
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description: Profile of Arthur Danjou, a Data Science and Applied AI student at Paris Dauphine-PSL University, highlighting his skills, experience, and career aspirations.
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---
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# Arthur Danjou
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**Data Science & Applied AI**
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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].
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## 📞 Contact & Links
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* **Email:** `arthur.danjou@dauphine.eu`
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* **Portfolio:** `go.arthurdanjou.fr/portfolio`
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* **GitHub:** `go.arthurdanjou.fr/github`
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* **LinkedIn:** `go.arthurdanjou.fr/linkedin`
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## 📍 Location
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* **Current:** Paris, France
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* **Timezone:** Europe/Paris (CET/CEST)
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* **Remote:** Open (confirmed by "REMOTE" experience)
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## 🗓️ Availability
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* **Status:** Available for a final-year internship.
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* **Start Date:** **April 2026**.
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* **Contract Types:** Internship (priority).
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## 🎯 Career Goals
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* To join a team of Data Scientists or AI Researchers to deepen my knowledge.
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* Contribute to high-impact projects.
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* **Prepare for a future doctorate in artificial intelligence**.
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* Become an expert in Machine Learning Engineering and MLOps.
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* Combine mathematical rigor (from education) with practical engineering solutions (from experience).
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## 💼 Work Preferences
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* **Target Roles:** Data Scientist, AI Researcher.
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* **Industries:** AI/ML, Data Science, Health, DevOps.
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* **Work Style:** Remote, Hybrid.
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* **Company Size:** Startup, Scale-up, Enterprise.
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## 🏆 Notable Achievements
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* Administration of a personal home lab (servers, databases, storage, backups) for MLOps experimentation since 2022.
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* Implemented daily data cleaning pipelines on Azure with PySpark, enhancing data quality by 20-30% at Sevetys.
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* Design, development, and maintenance of web, data, and cloud projects (Python, TypeScript, Nuxt 3) via ArtDanj Production.
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* Developed an automated monthly data quality report (completeness, consistency) for business teams.
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* Former rugby team captain, participating in the French school championships.
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## 📚 Education & Core Competencies
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### Paris Dauphine-PSL University (MSc)
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* **Dual Expertise:** Theory & Practice in Advanced Data Science and AI Systems.
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* **Core Theoretical Focus:** Strong background in statistical modeling and advanced AI principles (Advanced Machine Learning, Learning Theory, Clustering, Deep Learning, Climate Risk Modeling).
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* **Practical Skills:** Hands-on experience in NLP, Reinforcement Learning, Generative AI, Data Quality, and Data Visualisation.
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* **Key Courses (M1/M2):** Supervised Statistical Learning, Generalised Linear Models (GLMs), Monte Carlo Methods, Data Analysis, Non-parametric Statistics, Time Series, Numerical Optimisation.
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* **Active Engagement:** Scheduled participation in the Natixis and DIRISI Hackathons.
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### Technical Skillset
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* **Programming:** Python, R, TypeScript, Java, Git, LaTeX.
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* **Libraries & Frameworks:** NumPy, Pandas, Scikit-learn, PyTorch, Matplotlib, Seaborn.
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* **Databases:** SQL, Redis.
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* **Cloud & DevOps:** Proxmox, Docker, Azure, Linux, SysAdmin.
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### Statistical & AI Modeling
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* **Multivariate Data Analysis:** Principal Component Analysis (PCA), Correspondence Analysis (CA), clustering techniques, correlation analysis.
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* **Supervised Learning:** k-NN, linear and logistic regression, CNN, Naive Bayes.
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* **Unsupervised Learning:** Clustering, dimensionality reduction, k-means, CNN.
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* **IA & Modern Models:** Natural Language Processing, Transformers, Large Language Models, AI agents, embeddings, and fine-tuning. |