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πŸ‘‹ Hey there, I'm Naman Vipul Shah!

I'm a Data and AI Enthusiast with a knack for solving complex problems using data-driven insights. From analyzing financial markets to utlizing ML for complex problems, I thrive on blending creativity with analytical thinking to create impactful solutions.


πŸ› οΈ Professional Highlights

  • πŸ“Š Data & Analytics: Skilled in data visualization, data engineering, statistical modeling, and deriving actionable insights.
  • πŸ€– Machine Learning & AI: Hands-on experience with supervised and unsupervised ML models, NLP techniques, and deep learning architectures.
  • 🌐 Website Domain Classification: Developed an NLP-based model to classify website domains, culminating in a published research paper. An Improvised Approach for Website Domain Classification
  • πŸ’» Full-Stack Solutions: Built robust web applications and automated workflows using Python, Flask, and SQL.
  • 🧠 Research & Innovation: Passionate about exploring novel AI techniques.

πŸ“š Academic Background

πŸŽ“ Master of Science in Data Science
Indiana University, USA

πŸŽ“ Bachelor of Technology in Information Technology
Mumbai University, India

πŸ” Focus Areas: Data Analytics, ML/DL, NLP


πŸ’Ό Key Projects

  • MASala AI: An AI-powered multi-agent system for personalized cooking.
  • Solar Panel Health Monitoring: Improved failure detection accuracy using deep learning models.
  • Website Domain Classification: Implemented NLP algorithms for domain categorization with research publication.
  • Intraday Algo-Trading Bot: Built an automated trading system achieving a 17.89% annual compounded profit.

🌟 Fun Fact About Me

I'm not just about numbers and algorithmsβ€”I’m also a Red Cross Certified Swimming Instructor and enjoy swimming! I also love playing Badminton & Chess, going for biking/hiking and adventure activities.


πŸ“¬ Let's Connect!

πŸ“§ namanshah0506@gmail.com

Linkedin naman-shah0506

⭐ Always excited to collaborate on challenging projects and innovative ideas! ⭐


"Turning data into actionable insights, one dataset at a time." πŸ“ˆβœ¨

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