class Yassine:
name = "Yassine Boumhand"
location = "Rabat, Morocco ๐ฒ๐ฆ"
school = "ENSA Khouribga โ Software Engineering & Data Science"
status = "๐ข Open to PFA Internship โ AI / Data / ML (June 2026)"
focus = ["Machine Learning", "NLP", "Deep Learning", "LLM Integration"]
mindset = "From messy data to meaningful decisions โ that's where I live."
fun_fact = "I debug faster with coffee โ and lo-fi beats ๐ง"| # | Project | What I built | Stack | Impact |
|---|---|---|---|---|
| ๐ฅ | Sentiment Analysis โ NLP | Binary classifier on 100K Amazon reviews | scikit-learn Flask TF-IDF Word2Vec |
98.07% accuracy |
| ๐ฅ | Fraud Detection | Imbalanced learning on 100K bank transactions | XGBoost SMOTE Flask |
recall: 0.00 โ 0.44 |
| ๐ฅ | Chef Claude โ LLM App | AI recipe generator with custom system prompt | React Gemini API Vite |
Live + deployed |
| Badge | Certification | Issuer | Date |
|---|---|---|---|
| ๐ | GitHub Foundations | DataCamp | Mars 2026 |
| ๐ | Intermediate Python | Frontend Masters | Septembre 2025 |
| ๐ | Bash Programming | MindLuster | Mars 2025 |
[INFO] Currently deepening expertise in โ Deep Learning & Transformers
[INFO] Side quest โ Content creation on YouTube ๐ฌ & Jogging ๐
[OPEN] Actively seeking PFA Internship in AI / Data / ML โ June 2026
