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2 followers · 1 following
  • Rajshahi, Bangladesh
  • 06:08 (UTC +06:00)
  • Instagram tytrtf

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

Organizations

@Ontohin-4b

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ByteBard58/README.md

👋 Hey there, I'm Sakib

Student • Aspiring Computer Engineer • AI & ML Enthusiast

Welcome to my GitHub!
I’m a high school student from Bangladesh passionate about Data Science, Machine Learning, and building real-world automation tools with Python. I love experimenting, analyzing data, and turning raw ideas into functional, well-documented projects.

🚀 What I’m Currently Doing

  • 🔧 Working on hands-on projects using pandas, scikit-learn, and PyTorch
  • 📚 Reading various books related to practical ML and Data Science
  • 📊 Exploring data analysis, visualization, and ML model development
  • 🎯 Learning supervised and unsupervised ML techniques
  • 🌍 Preparing for undergraduate studies in Computer Science / AI

🌐 Socials:

Instagram LinkedIn email

💻 Tech Stack:

GitHub Actions Scipy Docker Markdown Python Render Heroku Flask Jinja Gunicorn PyTorch scikit-learn Pandas NumPy Matplotlib GitHub Postman

📊 GitHub Stats:

Contribution Streak Top Languages

⭐ “Code, Learn, Repeat.”

Thanks for visiting! I hope you enjoy exploring my repositories and experiencing my work. It would mean a lot to me if you could star any of them. Have a great day!

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  1. The_CosmoClassifier The_CosmoClassifier Public

    An ML classifier web app trained on SDSS dataset which can classify celestial objects based on given user inputs

    Jupyter Notebook 3

  2. SeismoSense SeismoSense Public

    An ML classifier tool which predicts the alert status of earthquakes based on seismic input data

    Jupyter Notebook 2

  3. UrbanEcho UrbanEcho Public

    A ML classifier which predicts urban sound types from .wav files using a scikit-learn pipeline trained on tabular audio features, served through a Flask web app

    Jupyter Notebook 2

  4. Exoplanet_Classifier Exoplanet_Classifier Public

    The project developed by team Ontohin 4b for NASA Space Apps Challenge 2025. An ML model with proper web interface which can predict exoplanets with given transit data .

    Jupyter Notebook 2