class FaizanToheed:
def __init__(self):
self.name = "Faizan Toheed"
self.role = "Aspiring ML Engineer"
self.location = "Lahore, Pakistan 🇵🇰"
self.university = "University of Management & Technology (UMT)"
self.email = "faizantoheed456@gmail.com"
self.languages = ["Python", "SQL"]
self.stack = ["Pandas", "NumPy", "Plotly",
"Seaborn", "Scikit-learn"]
self.interests = ["Machine Learning", "EDA", "Model Deployment"]
def say_hi(self):
print("Thanks for stopping by!
Let's build something intelligent 🚀")
me = FaizanToheed()
me.say_hi()- 🎓 CS Student at the University of Management & Technology, Lahore
- 🤖 Goal: Become a Machine Learning Engineer
- 📊 Analyzed gaming communities, retail & warehouse sales, and Pakistani university data
- 🛠️ Built DataSight — a desktop data profiler supporting CSV, XML, HTML, and TXT files
- 🌱 Currently leveling up in Scikit-learn, Deep Learning, and Model Deployment
- ⚡ Vectorized everything: 50,000 Monte Carlo portfolio simulations in pure NumPy — no loops
- 📫 Reach me: faizantoheed456@gmail.com
🐍 Languages & Core Libraries
🤖 Machine Learning
📊 Data Visualization
🧰 Tools
- 🎮 arena-gaming-eda — EDA on gaming community data
- 🏪 Pandas-Dataset-Warehouse-and-Retail-Sales — Retail & warehouse sales analysis
- 🎓 pak-uni-eda-dashboard — Interactive EDA dashboard on Pakistani university data
- 🔍 DataSight — Desktop data profiler (CSV, XML, HTML, TXT)
- 📉 numpy-monte-carlo-portfolio-risk — 50K Monte Carlo simulations in pure NumPy
- 📊 Visualization — Data visualization projects
Mastered ✅ Up Next 📌
────────────────────────────────────────────────────────────
Python (Advanced) → Scikit-learn (ML Models)
Pandas / NumPy / SciPy → Feature Engineering
SQL & Databases → TensorFlow / PyTorch
EDA & Statistics → Model Deployment (FastAPI)
Plotly & Dash → MLflow & Experiment Tracking
DataSight → Docker & Cloud ML
Monte Carlo Sims → NLP & Computer Vision
| Domain | Tools | Status |
|---|---|---|
| 🤖 Core ML | Scikit-learn, XGBoost, LightGBM | 🔜 Next Up |
| 🧠 Deep Learning | TensorFlow, PyTorch | 📅 Planned |
| 🚀 Deployment | FastAPI, Streamlit, Flask | 📅 Planned |
| 🔁 ML Pipelines | MLflow, DVC | 📅 Planned |
| ☁️ Cloud ML | AWS SageMaker, GCP Vertex AI | 📅 Planned |
| 🐳 DevOps | Docker, GitHub Actions | 📅 Planned |
| 💬 Advanced AI | NLP, Computer Vision, LLMOps | 🔮 Future |
💬 Open to collaborations, project feedback, and ML conversations. I reply to every message!
"Data is the new oil — but only if you know how to refine it." 🛢️
⭐ If you found any of my projects useful, a star goes a long way — thank you!