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Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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muntakim1/README.md

Hello, I'm Muntakimur Rahaman! 👋

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I'm a 26-year-old self-taught Data Scientist and Full Stack Web Developer based in Bangladesh. I hold a Bachelor's Degree in Computer Science and Engineering from BAIUST. Currently, I'm contributing to the field as a Data Scientist at Innova-analytics.ai.

About Me

  • 💼 Current Role: Data Scientist at Innova-analytics.ai

    • 🤖 Implementing YOLO models for advanced object detection.
    • 📈 Conducting Time Series Analytics for insightful predictions.
    • 🌐 Collaborating with clients from Oman and Australia to deliver tailored solutions.
    • 💻 Working on diverse projects, from AI-driven tools to complex Data Analytics.

  • 🎓 Education: Bachelor's Degree in CSE from BAIUST, Bangladesh

Expertise

I have a strong background and proficiency in the following areas:

  • 🤖 Machine Learning
  • 🧠 Deep Learning
  • 📊 Natural Language Processing
  • 🖥 AI Software Development

Passion and Research

I'm passionate about exploring and researching:

  • ⏰ Time Series Event Analysis
  • 🤖 LLM
  • 👁 Computer Vision

Projects

I enjoy building AI-powered tools and Data products. Some of my interests include:

  • 🔄 Working with new technologies
  • 📊 Playing with Data and AI

Feel free to connect with me for collaborations or discussions on exciting projects! 😊

{...} My Stack

{
   "languages": ["Python", "Java","Javscript","SQL"],
   "backend": ["Django","Flask","Dash"],
   "frontend": ["html", "css","Vanilla JS","ReactJS"],
   "databases": ["mysql","postgresql","ORACLE"],
   "Cloud": ["AWS","GCP","AZURE"],
   "devops": ["Docker","nginx"],
   "ai framework":["Keras","Tensorflow","PyTorch","PyCaret","Scikit-learn","PySpark"],
   "experimenting": ["Django", "Heroku","Github Actions"]
}

🎉 Achievements

Pinned Loading

  1. dash_cute_charts dash_cute_charts Public

    A dash component for CuteCharts

    Python 33 2

  2. data-science data-science Public

    Jupyter Notebook

  3. face-recognition-ai face-recognition-ai Public

    Python 2

  4. photo_restoration.ipynb photo_restoration.ipynb
    1 
    {
    2 
      "nbformat": 4,
    3 
      "nbformat_minor": 0,
    4 
      "metadata": {
    5 
        "accelerator": "GPU",
  5. fraud_detection.ipynb fraud_detection.ipynb
    1 
    {
    2 
      "nbformat": 4,
    3 
      "nbformat_minor": 0,
    4 
      "metadata": {
    5 
        "colab": {
  6. ImageDenoising.ipynb ImageDenoising.ipynb
    1 
    {
    2 
      "nbformat": 4,
    3 
      "nbformat_minor": 0,
    4 
      "metadata": {
    5 
        "colab": {