class DataScientist:
def __init__(self):
self.name = "Sajjad Ali Shah"
self.username = "SajjadKhanYousafzai"
self.role = "Data Scientist | ML Engineer | AI Researcher"
self.location = "Pakistan π΅π°"
self.education = "BS in Software Engineering"
def get_skills(self):
return {
"ml_frameworks": ["TensorFlow", "PyTorch", "Scikit-learn", "Keras"],
"data_science": ["Pandas", "NumPy", "Matplotlib", "Seaborn", "Plotly"],
"deep_learning": ["CNNs", "RNNs", "LSTMs", "Transformers", "GANs"],
"nlp": ["NLTK", "spaCy", "Hugging Face", "BERT", "GPT"],
"computer_vision": ["OpenCV", "PIL", "YOLO", "ResNet", "VGG"],
"cloud_ml": ["AWS SageMaker", "Google Cloud AI", "Azure ML"],
"databases": ["PostgreSQL", "MongoDB", "MySQL", "SQLite"],
"tools": ["Jupyter", "Docker", "Git", "MLflow", "Weights & Biases"]
}
def current_focus(self):
return [
"Generative AI & Large Language Models",
"Computer Vision Applications",
"Time Series Forecasting",
"MLOps & Model Deployment"
]
def fun_fact(self):
return "I can train a neural network faster than I can make coffee! βπ€""The future belongs to those who understand that data is not just information β it's the raw material of intelligence."
Recent Focus Areas:
- π Generative AI & LLMs
- π¬ Explainable AI (XAI)
- π₯ AI in Healthcare
- π Sustainable AI Solutions
