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PatilKhushbu/README.md

💫 About Me

👋 Hi, I'm Khushbu Patil — a recent Master's graduate in Computer Science (Data Management & Analytics) from Ca' Foscari University of Venice.

🎓 Passionate about AI, ML & data-driven solutions — especially building systems that make data more accessible and impactful.

🔍 Recent Work

🤝 Open to Collaborations

  • Open-source AI/ML projects (esp. healthcare, accessibility, sustainability)
  • Insightful dashboards & visual storytelling using Python, R, or Power BI

🌍 Seeking

  • Career opportunities or referrals in the European tech space
  • Support improving my Italian and German

🚀 Currently Exploring

  • Scalable ML with Cloud Engineering
  • Advanced Computer Vision & NLP (PyTorch, TensorFlow)

💬 Let's talk about

ML modeling, graph kernels, data pipelines, or optimizing matrix ops in C++.

⚡ Fun Fact

I once built a Sudoku Solver using AI algorithms like AC-3, forward checking & backtracking — yes, puzzles + code = 😍

🛠️ Tech Stack

Python R C++ Java PyTorch TensorFlow Scikit-learn Power BI Pandas NumPy

📫 Connect with Me

LinkedIn Email

Pinned Loading

  1. semantic-segmentation-pytorch-master semantic-segmentation-pytorch-master Public

    Pixel-level image segmentation using a pretrained ResNet50-dilated + PPM_deepsup model on ADE20K's 150 classes.

    Jupyter Notebook

  2. Page_Rank-HITS_Computation Page_Rank-HITS_Computation Public

    C++ implementations of PageRank and HITS — the classic link-analysis algorithms behind web search ranking.

    C++

  3. Manifold-Learning-and-Graph-Kernels Manifold-Learning-and-Graph-Kernels Public

    Testing whether manifold learning (Isomap, LLE) improves SVM classification on Weisfeiler-Lehman graph kernels.

    Jupyter Notebook

  4. Master_Thesis_Research_Work Master_Thesis_Research_Work Public

    Research thesis on making data visualizations accessible for blind and visually impaired users via semantic web and AI approaches.

  5. heart-disease-detection-r heart-disease-detection-r Public

    Predicting heart disease risk from clinical data using Logistic Regression, LDA, and Ridge Regression in R.

    HTML

  6. SPAM_FILTER SPAM_FILTER Public

    SVM vs. Naive Bayes spam classification — testing how kernel choice and vector normalization affect accuracy.

    Jupyter Notebook