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ShimleenNawal/README.md

Shimleen Nawal

AI & Machine Learning Student | Data Science Enthusiast

Email • LinkedIn • GitHub

💫 About Me

🎓 Penultimate Year Computer Science (AI concentration) student at Hong Kong Baptist University
🤖 Focused on Machine Learning, Data Science, and AI Application Development
🎨 Experience in Full Stack Development (especially frontend development/UI Design)
📊 Skilled in end-to-end ML workflows: EDA → preprocessing → modeling → insights
🚀 Open to Data Analyst / AI Engineering / Software Engineering / Programming / Research-based Internships/Placements

💻 Tech Stack

  • Languages: Python, Java, C/C++, SQL, JavaScript, R
  • AI/ML: Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib, Seaborn, SciPy
  • Web: React, Next.js, HTML, CSS
  • Tools: Git, VS Code, Cursor, Jupyter, Oracle, MongoDB, Supabase, Vercel, Streamlit

🏁 Latest Projects

🔹 Zomato Restaurant Analysis (Unsupervised Learning) 🔗 View Project

Tech: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

  • Performed exploratory data analysis with 15+ visualizations on restaurant data
  • Applied K-means clustering, PCA, and feature scaling for segmentation
  • Used Elbow Method to determine optimal clusters
  • Derived actionable insights on customer segmentation and pricing strategies

📌 Focus: Machine Learning • Clustering • Data Analysis

🔹 Amazon Prime Video Data Analysis 🔗 View Project

Tech: Python, Pandas, NumPy, Matplotlib, Seaborn

  • Merged 9K+ titles and 124K+ credits datasets using common identifiers
  • Cleaned and processed large-scale data using Pandas & NumPy
  • Built visualizations to analyze genre distribution, trends, and release patterns
  • Generated insights on content diversity and platform trends

📌 Focus: Data Analysis • Data Visualization

🔹 Quantara – AI-Driven DeFi Trading Platform (EasyA Kickstart Accelerator, Consensus Hong Kong 2026 Hackathon) 🔗 View Project

Tech: AI Concept Design, Product Strategy

  • Conceptualized an AI-powered token analysis platform for risk filtering
  • Defined system features: AI scoring, token filtering, trading workflow
  • Collaborated with developers to align AI logic with product features

📌 Focus: AI Product Design • FinTech • Collaboration

🔹 DUEL – Hackathon Project (BUHack 2026, 5th Place) 🔗 View Project

Tech: JavaScript, HTML, CSS

  • Developed frontend admin interface for the platform
  • Delivered live demo and explained system functionality to judges
  • Contributed to team ideation and development workflow

📌 Focus: Frontend Development • Team Collaboration

🔬 Current Focus

  • Building data-driven AI applications using real-world datasets and large language models (LLMs)
  • Strengthening model development, evaluation, and data analysis skills
  • Preparing for AI/Data-focused roles

📊 GitHub Stats



📫 Contact

Open to AI / Data Analyst / Software Engineering internship/placement opportunities :)

Popular repositories Loading

  1. AcrossAndOver AcrossAndOver Public

    Interactive Python game where players collect presents while dodging moving cars, testing reflexes, timing, and strategic movement.

    Python 1

  2. ModernArt ModernArt Public

    Java OOP implementation of the Modern Art board game featuring multiple auction mechanisms and AI players.

    Java

  3. BlockPuzzle BlockPuzzle Public

    Console-based block puzzle game built in Java featuring grid-based placement, collision detection, and row/column clearing mechanics.

    Java

  4. TooBUsyToHack-DUEL TooBUsyToHack-DUEL Public

    DUEL – 5th place at BUHack 2026

    JavaScript

  5. Amazon-Prime-TV-Shows-and-Movies-EDA Amazon-Prime-TV-Shows-and-Movies-EDA Public

    This project performs exploratory data analysis(EDA) on Amazon Prime Video's content library to unravel insights into content diversity, trends, and viewer preferences using Python and Data Visuali…

    Jupyter Notebook

  6. Zomato-Restaurant-EDA-and-Unsupervised-Learning Zomato-Restaurant-EDA-and-Unsupervised-Learning Public

    Zomato Restaurant Data Analysis and Machine Learning Project involving EDA, sentiment analysis, hypothesis testing, and predictive modeling to derive actionable business insights.

    Jupyter Notebook