class Yassine:
name = "Yassine Boumhand"
location = "Rabat, Morocco π²π¦"
school = "ENSA Khouribga β Software Engineering & Data Science"
status = "π’ Open to PFA Internship β AI / Data / ML (June 2026)"
focus = ["Machine Learning", "NLP", "Deep Learning", "LLM Integration"]
mindset = "From messy data to meaningful decisions β that's where I live."
fun_fact = "I debug faster with coffee β and lo-fi beats π§"| # | Project | What I built | Stack | Impact |
|---|---|---|---|---|
| π₯ | Sentiment Analysis β NLP | Binary classifier on 100K Amazon reviews | scikit-learn Flask TF-IDF Word2Vec |
98.07% accuracy |
| π₯ | Fraud Detection | Imbalanced learning on 100K bank transactions | XGBoost SMOTE Flask |
recall: 0.00 β 0.44 |
| π₯ | Chef Claude β LLM App | AI recipe generator with custom system prompt | React Gemini API Vite |
Live + deployed |
| Badge | Certification | Issuer | Date |
|---|---|---|---|
| π | GitHub Foundations | DataCamp | Mars 2026 |
| π | Intermediate Python | Frontend Masters | Septembre 2025 |
| π | Bash Programming | MindLuster | Mars 2025 |
[INFO] Currently deepening expertise in β Deep Learning & Transformers
[INFO] Side quest β Content creation on YouTube π¬ & Jogging π
[OPEN] Actively seeking PFA Internship in AI / Data / ML β June 2026
