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dive0-bit/README.md

Hi there! πŸ‘‹ I'm Divesh Saini

🎯 Machine Learning Engineer | Python Developer | AI/ML Enthusiast

Connect with me on these platforms:

Platform Link
πŸ’Ό LinkedIn https://www.linkedin.com/in/divesh-saini-4bb673379/
πŸ™ GitHub https://github.com/dive0-bit
πŸ“§ Email devs62715@gmail.com

Quick Access:

πŸ“ Location: Saharanpur, UP, India | πŸ“ž +91-7455961189

Connect with me:

Quick Links: LinkedIn | GitHub | Email


πŸš€ About Me

Recent MCA Graduate with 6 months specialized AI/ML Training from Excellence Technology. Passionate about building intelligent systems and solving real-world problems with machine learning. Proficient in Python, TensorFlow, and data analysis. Eager to contribute to innovative projects and grow as an ML Engineer.

  • πŸŽ“ Education: MCA from Shobhit University (CGPA: 7.32), BCA from Krishna Institute of Technology
  • πŸ”§ Currently Learning: Deep Learning, NLP, System Design
  • πŸ’‘ Interests: Machine Learning, Data Science, Backend Development, Cloud Computing
  • 🎯 Goal: Secure a role as ML Engineer and contribute to cutting-edge AI solutions

πŸ› οΈ Technical Skills

Languages

Python SQL Bash

Machine Learning & Deep Learning

TensorFlow PyTorch scikit-learn Keras

Data Science & Analytics

Pandas NumPy Matplotlib Jupyter

Backend Development

Django REST API MySQL

Tools & Platforms

Git Docker Linux Streamlit VS Code


πŸ“š Featured Projects

1. 🚨 Spam Email Detection System

Python scikit-learn NLP Streamlit

Classification model to detect spam emails using machine learning

Key Features:

  • βœ… TF-IDF Vectorization for text processing
  • βœ… Multiple classification algorithms tested
  • βœ… High precision and recall metrics
  • βœ… Interactive Streamlit web interface
  • βœ… Real-time prediction capability

2. πŸ“š Book Recommendation System

Python ML Collaborative Filtering Streamlit

Personalized book recommendation engine using collaborative & content-based filtering

Key Features:

  • βœ… Collaborative filtering algorithm
  • βœ… Content-based recommendations
  • βœ… Similarity metrics implementation
  • βœ… User-friendly Streamlit interface
  • βœ… Personalized suggestions based on user preferences

3. πŸ—‚οΈ Mady - File Organizer

React Django JavaScript REST API

Full-stack web application for organizing and managing files

Key Features:

  • βœ… React frontend with responsive UI
  • βœ… Django REST API backend
  • βœ… File upload and organization
  • βœ… Database management
  • βœ… User authentication

4. πŸ’¬ Messenger - Real-time Chat App

Django WebSocket JavaScript Render

Real-time messaging application with Django Channels

Key Features:

  • βœ… Real-time message transmission
  • βœ… Django Channels WebSocket support
  • βœ… User authentication system
  • βœ… Message persistence
  • βœ… Deployed on Render

πŸ“Š GitHub Stats

GitHub Stats

Top Languages

GitHub Streak


πŸ† Certifications & Achievements

Certification Issuer Date
AI/ML Industrial Training Excellence Technology (120-hour ISO-certified) Apr 2026
Data Science with AI Internshala Apr 2026
Python Programmer HackerRank Verified
100+ DSA Problems Solved LeetCode/HackerRank Ongoing

πŸ“ˆ Learning Journey

2021-2024        β†’  Bachelor of Computer Applications (BCA)
           ↓
Apr-Aug 2024     β†’  Master of Computer Applications (MCA)
           ↓
Apr-Jun 2026     β†’  AI/ML Industrial Training (Excellence Technology)
           ↓
Jun 2026-        β†’  ML Engineer | Software Developer (Actively Seeking)

πŸ’» Code Highlights

Python ML Pipeline Example

from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.ensemble import RandomForestClassifier

# Build ML Pipeline
pipeline = Pipeline([
    ('scaler', StandardScaler()),
    ('classifier', RandomForestClassifier())
])

pipeline.fit(X_train, y_train)
accuracy = pipeline.score(X_test, y_test)
print(f"Model Accuracy: {accuracy:.2%}")

🎯 What I'm Looking For

  • πŸ” Entry-Level ML Engineer Roles (Fresher-friendly companies)
  • 🌍 Location Flexible (Open to remote opportunities)
  • πŸš€ Growth-Oriented Teams (Places where I can learn and grow)
  • πŸ’‘ Challenging Projects (Real-world ML applications)

πŸ“ž Let's Connect!

Feel free to reach out! I'm always open to collaborations, feedback, and exciting opportunities.

Quick Links: πŸ“§ Email | πŸ’Ό LinkedIn | πŸ™ GitHub


🌟 Fun Facts About Me

  • 🎯 Solved 100+ Data Structures & Algorithms problems
  • πŸ“š Passionate about Machine Learning and Data Science
  • πŸ”§ Love building end-to-end ML solutions
  • πŸ’ͺ Strong foundation in DSA and OOP
  • 🌱 Continuously learning and improving my craft

🌟 Thank You for Visiting!

⭐ If you find my projects helpful, please give them a star! ⭐

Made with ❀️ by Divesh Saini

Last Updated: 2026-09-18 | Profile Views: GitHub Profile

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