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RiyaH2020/README.md

Hi, I’m Riya 👋🏻

I’m an MSc Data Science graduate passionate about Machine Learning, NLP, and Algorithms.
I enjoy working on challenging and impactful problems, and I’m always learning and growing along the way.

🔭 What I Do

  • Implement interpretable machine learning models for real-world datasets
  • Explore data analytics projects to turn data into insights
  • Build practical projects and coursework exercises to apply algorithmic and data science concepts

🛠️ Skills & Tools

Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Keras
Areas of Interest: Machine Learning, Deep Learning, NLP, Algorithm Design
Other Tools: Git, Jupyter Notebook, Colab

📚 Coursework Highlights

  • Algorithm Design Techniques: Studied problem-solving patterns, recursion, dynamic programming, and optimization techniques
  • Applied Machine Learning & Data Analytics: Hands-on projects with real-world datasets
  • NLP: Implemented text analysis, feature engineering, and basic deep learning models

🌱 Currently Learning

  • Advanced Deep Learning architectures for NLP
  • Advanced Machine Learning concepts

📫 Connect with Me

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  1. Portfolio_optimization Portfolio_optimization Public

    Mean-variance portfolio optimization with classical solvers and preliminary steps toward quantum optimization via QUBO.

    Jupyter Notebook

  2. Explainability_in_Vision_transformers Explainability_in_Vision_transformers Public

    Interpretability analysis of Vision Transformers using Attention Rollout, Gradient Rollout, and a novel FAF/BAF metric with Mask R-CNN. Includes experiments on DeiT-Tiny comparing CNN and ViT expla…

    Jupyter Notebook

  3. CUR-Decomposition-LAA CUR-Decomposition-LAA Public

    Implementation and analysis of CUR matrix decomposition for interpretable dimensionality reduction, based on Mahoney & Drineas’ work.

    Jupyter Notebook

  4. Age-Invariant-Face-Recognition Age-Invariant-Face-Recognition Public

    Evaluated VGG-Face performance on FG-NET and MORPH datasets; published findings in Springer Conference series.

    Jupyter Notebook

  5. Sixth-Sense-Device Sixth-Sense-Device Public

    Gesture-controlled image capture and interactive drawing application with color selection.

    Python

  6. Applications-of-Linear-Algebra Applications-of-Linear-Algebra Public

    This repository contains demonstrations and exercises emphasizing applications of Linear Algebra in Machine Learning, NLP etc.

    Jupyter Notebook