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rakshita003/README.md

👋 Welcome to My GitHub Universe!

Hey there! I'm Rakshita Mathur, a passionate AI enthusiast, software developer, and data scientist on a mission to build intelligent solutions that push the boundaries of technology. With a B.Sc. Honors in Computer Science (Data Science Concentration) from the University of Ottawa, I specialize in machine learning, deep learning, computer vision, NLP, and software development.

🚀 Portfolio: Explore My Work

🔥 What I Do

  • AI & Machine Learning: From GNNs to CNNs, I love creating intelligent models.
  • Software Development: Building scalable and efficient applications in Python & Java.
  • Data Science & Analytics: Extracting insights using TensorFlow, PyTorch, and OpenCV.
  • Cloud & Security: Exploring AWS and cybersecurity methodologies.

🏆 Featured Projects

🕵️ Community Detection Using GNN

  • Conducted Social Network Analysis on GitHub user data (37,000 nodes).
  • Implemented Graph Neural Networks, Naïve Bayes, and Logistic Regression.
  • Achieved 87.82% accuracy in binary node classification.

🔍 Information Retrieval System

  • Built an efficient document retrieval system using Python, NLTK, and TF-IDF.
  • Optimized query expansion and automated ranking accuracy.
  • Processed 322 documents, creating an inverted index of 450k words.

🖼️ Image Classification Using CNN

  • Developed an image classification model using TensorFlow.
  • Trained on the CIFAR-10 dataset, achieving high accuracy.

📌 DBSCAN Implementation for Object Detection

  • Implemented DBSCAN clustering in Java for GPS coordinate clustering.
  • Enhanced outlier detection and reduced processing time by 15%.

🤖 AI Data Training (Freelance @ G2i)

  • Ranked & labeled 1,000+ prompts for Reinforcement Learning from Human Feedback (RLHF).
  • Refined AI model training workflows for better model performance.

🎓 Certifications

📜 AWS Solutions Architect Associate (SAA-C03)

📜 Google Cybersecurity Professional Certificate

📜 IBM AI Engineering - Deep Learning, Scipy, Scikit-Learn, Apache Spark

📜 Applied Data Science by IBM - Data analysis, visualization, and ML

📜 Statistics with Python - Advanced statistical modeling & inference

📜 Python for Everybody - Full-stack Python development

💡 Always Learning

I'm diving deeper into AI Research, Cloud Security, and Large-Scale ML Systems. Let’s collaborate and build something amazing!

📬 Let's Connect!

Pinned Loading

  1. Community-Detection-Using-GNN Community-Detection-Using-GNN Public

    Community Detection Using GNN

    Jupyter Notebook

  2. Image-classification-using-CNN Image-classification-using-CNN Public

    Image Classification

    Jupyter Notebook

  3. Neural-Style-Transfer-with-TensorFlow Neural-Style-Transfer-with-TensorFlow Public

    This was a Coursera project certification course in neural-style-transfer with TensorFlow.

    Jupyter Notebook

  4. CSI4106-Artificial-Intelligence CSI4106-Artificial-Intelligence Public

    Artificial Intelligence

    Jupyter Notebook

  5. CSI4107-Information-Retrieval-and-the-Internet CSI4107-Information-Retrieval-and-the-Internet Public

    Information Retrieval

    Python

  6. Cybersecurity-Labs Cybersecurity-Labs Public

    Hands on cybersecurity labs