class DataScientist:
def __init__(self):
self.name = "Rayyan Merchant"
self.role = "Data Scientist & AI Engineer"
self.location = "Building the Future with Data"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together.")
def get_expertise(self):
return {
"data_science": ["EDA", "Statistical Modeling", "BI", "Data Storytelling"],
"machine_learning": ["Forecasting", "Classification", "NLP", "Recommenders"],
"ai_systems": ["Multi-Agent", "RAG", "Knowledge Graphs", "Reasoning"],
"data_engineering": ["ETL", "Data Warehousing", "Dimensional Modeling"]
}
me = DataScientist()
me.say_hi()📊 Data Science & Analytics
Skills: Exploratory Data Analysis • Statistical Modeling • Data Visualization • Feature Engineering • Business Intelligence • Data Storytelling
🤖 Machine Learning & AI
Skills: Classification • Regression • Clustering • NLP • Recommender Systems • Time Series Forecasting • Model Evaluation • Hyperparameter Tuning
🧠 AI Systems & Agents
Skills: Multi-Agent Systems • Retrieval-Augmented Generation • Vector Databases • Semantic Search • Knowledge Graphs • Reasoning Engines
🔧 Automation & Integration
Skills: Multi-Agent Systems • Workflow Automation • API Integrations • LLM-based Automation • Business Process Automation
🗄️ Databases & Data Engineering
Skills: Data Warehousing • Dimensional Modeling • ETL Pipelines • Query Optimization • Database Design
⚙️ Backend & Infrastructure
Skills: REST APIs • Async Processing • Containerization • Version Control