💡 This section is written as a Python class — a fun, developer-friendly way to introduce myself!
class DataScientist:
def __init__(self):
self.name = "Chetan Mundhe"
self.role = "Sr. Data Scientist | ML Engineer | AI Architect"
self.location = "Pune, India 🇮🇳"
self.expertise = [
"Agentic AI", "Generative AI", "LangGraph",
"Multi-Model Agentic Systems", "Computer Vision", "NLP",
"Deep Learning", "MLOps", "Cloud AI"
]
self.tools = ["Python", "TensorFlow", "Keras", "PyTorch", "SQL", "AWS"]
self.currently = "Architecting multi-agent AI systems that think, reason & act 🤖"
self.fun_fact = "I turn messy data into clean insights ✨"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together 🚀")
me = DataScientist()
me.say_hi()
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 Multi-Agent-Counseling-System | Multi-agent AI system for intelligent counseling with memory & reasoning | LangGraph · Agentic AI · Python |
| 🔗 Langgraph-agentic-workflow | Production-grade agentic workflows with multi-step reasoning | LangGraph · LangChain · GenAI |
| 💬 ai-life-coach | AI-powered life coaching assistant with persistent memory | OpenAI · GenAI · Python |
| Project | Description | Tech Stack |
|---|---|---|
| 🎥 shoplifting_detection | Real-time shoplifting detection system using computer vision | PyTorch · YOLO · OpenCV |
| 🔍 fraud-ring-detection-proto | Fraud ring detection prototype using graph-based analytics | Python · Graph AI · ML |
🔧 How I'm Using n8n to Automate the Boring Parts of Data Science (And You Probably Should Too)
A practical guide on leveraging n8n for automating repetitive data science workflows — from data ingestion to notifications.
🚀 From Data to Deployment: Building End-to-End Machine Learning Pipelines
A comprehensive walkthrough of building production-ready ML pipelines — from raw data to deployed models.
📊 Bridging the Gap Between Data Science & Business: Communicating Insights Effectively
How to translate complex ML/AI findings into clear, actionable business narratives that stakeholders actually understand.
📖 Read all articles on Medium →
