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shamnesiac/README.md

Hi there, I'm Shamnesiac! 👋

Welcome to my GitHub profile! I'm passionate about software development, data science, and solving challenging problems. I love working on innovative projects and expanding my knowledge across various domains.

🚀 About Me

  • 🔧 Languages & Tools:

    • C/C++ (Boost, libcurl, STL)
    • Java (Collections, Java-SQL Connector, Object Oriented Programming)
    • Python (TensorFlow, PyTorch, NumPy, Pandas, scikit-learn)
    • Jupyter Notebooks for data science workflows
    • SQL (Database management queries)

  • 🌱 Currently Exploring:

    • Advanced feature extraction techniques
    • Problems in Data Structures and Algorithms
    • Time Complexity Analysis of Algorithms
    • Graph Algorithm Analysis
    • Deep learning architectures for image classification

  • 📚 Interests:

    • Machine learning and optimization
    • Problem Solving through Algorithms
    • Regression analysis
    • Deep Learning
    • Developmental Economics

  • ✍️ Recent Projects:

    • Flower Classification Using MLP: Leveraged PCA and wavelet transforms for preprocessing; achieved significant accuracy using TensorFlow and PyTorch.
    • Flower Classification Using CNN: Leveraged Convolutional Neural Networks to process images; achieved very high accuracy using ResNet-18.
    • C++ HTTP Communication: Developed efficient tools for handling PUT/POST requests using Boost and libcurl.
    • Diabetes Prediction using Data Science tools: Used various regression, classifying and clustering analysis on Diabates related data.

🌐 Connect with Me

I'm always open to discussing exciting opportunities, exchanging knowledge, or simply connecting!

Pinned Loading

  1. Comparison-of-various-regression-classifiers-and-clustering-algorithms Comparison-of-various-regression-classifiers-and-clustering-algorithms Public

    This repository is for the course Foundations of Data Science and has attempted to compare, test and report on how each algorithm for regression, classifying and clustering performs. Also highlight…

    Jupyter Notebook

  2. Cpp-HTTP-Communication Cpp-HTTP-Communication Public

    Using Libcurl and Boost, I implement the basic REST API functions in C++.

    C++

  3. Flower-classification-using-CNNs Flower-classification-using-CNNs Public

    This project attempts to classify images of flowers into 60 classes using CNNs.

    Jupyter Notebook

  4. Flower-classification-using-MLP Flower-classification-using-MLP Public

    This project attempts to classify images of flowers into 60 classes using MLPs.

    Jupyter Notebook

  5. Testing-Various-Shortest-Path-Algorithms Testing-Various-Shortest-Path-Algorithms Public

    C++

  6. Implementing-various-graph-algorithms-to-a-railway-network-system Implementing-various-graph-algorithms-to-a-railway-network-system Public

    Implemented various graph algorithms in context of implementing a railway network.

    C