I'm a tech enthusiast deeply passionate about Data Science, AI, and Full-Stack Development. I’m currently on a focused journey to master Machine Learning and build AI-powered solutions that create real-world impact.

I'm following a structured and progressive roadmap to become a proficient AI/ML developer. Here's my learning path:

• ✅ Python: Data types, control flow, OOP, file handling, exception handling
• 🔄 Practicing regularly on platforms like HackerRank and LeetCode

• 🧩 Pandas – Data wrangling and preprocessing
• ➕ NumPy – Numerical computing and matrix operations
• 🎨 Seaborn – Statistical data visualization
• 📈 Matplotlib – Custom and complex data plots

• 📚 SQL – For structured data querying and manipulation
• 🤖 Learning ML concepts (via DSMP 1.0 / 100 Days of ML)
• 🛠️ Working on beginner to intermediate ML projects:
  • Classification
  • Regression
  • Clustering

• 🔍 Transitioning into Deep Learning (TensorFlow / PyTorch)
• 🧪 Building projects like:
  • Image classifiers
  • Text sentiment analysis
  • Neural networks for tabular data

• 🐳 Docker – Containerization for projects
• ☁️ AWS – Exploring EC2, S3, Lambda for deploying models

• 🧩 LangChain – Learning the basics of LLM orchestration
• 🛠️ Building 1–2 AI agents (e.g., document Q&A, code assistant)
• 🌐 LangGraph – Diving into the cutting-edge LangGraph framework for agent workflows

• Data Science & ML Projects
• Hackathons & Open-Source Initiatives
• Building AI Agents & LLM-based tools
• Open Source

• 📧 Email: amirshaikh17543@gmail.com
• 🌐 Portfolio: https://amirsportfolio2space.netlify.app/

I believe in "Learn, Build, Share" — and I debug faster with lo-fi beats in the background 🎧