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@rahanshahh

Rahan Shah

@rahanshahh

Skill iconPython
Artificial Intelligence
Machine Learning
Deep Learning
Natural Language Processing

Mumbai, India

Hi, I'm Rahan Shah! 👋

About Me
I'm a Computer Science (Data Science) student at D.J. Sanghvi College of Engineering, passionate about Machine Learning, Deep Learning, Big Data Engineering, and Computer Vision. I love solving real-world problems with data-driven solutions and enjoy building projects that blend AI, sustainability, and user experience.

Technical Skills

  • Programming: Python, C, C++, SQL
  • Data Science & ML: TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP, Transformers
  • Visualization: Tableau, Matplotlib, Seaborn
  • Development: Flask, FastAPI, LangChain

Notable Projects
Sustainable Tourism: Smart & Sustainable Travel Experience (3rd Place Winner at LOC 7.0 Hackathon)

  • Developed an image-based waste detection & reporting system with GPS extraction & reverse geocoding.
  • Implemented BERT-based review analysis for hotels & restaurants.
  • Built a historical chatbot with LangChain and OpenAI API.
  • Designed a sustainable itinerary planner promoting hidden tourist spots and local businesses.

Maharashtra Crop Yield Prediction

  • Developed a hybrid CNN-LSTM & Probabilistic Graph Model for yield prediction.
  • Predicted rainfall & temperature using ML models (XGBoost, Random Forest, LSTM, ETS).
  • Integrated multiple datasets (district, area, season, year) for accurate forecasting.

Facial & Text Emotion Recognition

  • Built a deep learning model for simultaneous face & text-based emotion analysis.
  • Used Transfer Learning (VGG-16) on FER-2013 dataset.

📌 Experience

  • Interned at a well-established IT company, where I gained hands-on experience in Computer Vision and Deep Learning.
  • Worked on various projects involving ML, NLP, and Big Data.

What I’m Currently Learning

  • Generative AI & LLMs (LangChain, OpenAI API)
  • Advanced NLP techniques
  • Scalable architectures for AI applications

Beyond Tech
When I’m not coding, you’ll find me reading books or staying fit
Always open to collaborations and interesting discussions on AI & Data Science!