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Mandar123454/README.md

👋 Hey there, I’m Mandar Kajbaje (@Mandar123454)

💻 Computer Science Graduate | Cybersecurity • Data Science • Full-Stack Web
🎯 Building real-world, security-focused systems backed by data and engineering
🎨 Strong believer in clean architecture, clarity, and practical impact


🚀 About Me

I’m a Computer Science graduate with hands-on experience across Cybersecurity, Data Science, Machine Learning, and Full-Stack Development.
My work focuses on real-world problem solving — from intrusion detection and phishing prevention to analytics dashboards and scalable web apps.

I enjoy shipping end-to-end projects that combine:

  • solid backend logic
  • meaningful data insights
  • secure system design
  • clean, usable interfaces

👀 What I’m Into

  • Cybersecurity & Ethical Hacking (Defensive + Analytical focus)
  • Network traffic analysis & intrusion detection
  • Data science dashboards & ML-driven insights
  • Full-stack web development (MERN, Flask)
  • Building systems that are useful, explainable, and production-ready

🌱 Currently Working On

  • Advanced cybersecurity tooling & SOC-aligned workflows
  • Machine learning for anomaly & threat detection
  • Scalable dashboards using Flask, Plotly, React
  • Improving system design, documentation, and reproducibility

🛠️ Tech Stack

Languages
Python, JavaScript, C#, SQL

Frameworks & Libraries
Flask, React, Node.js, Express, Pandas, NumPy, Scikit-learn, Plotly

Cybersecurity & Networking
Scapy, Snort, Packet Analysis, Network Monitoring, Threat Detection

Databases & Cloud
MongoDB, MySQL, Azure

Tools
Git, GitHub, VS Code, Kali Linux, Jupyter Notebook


🏆 Certifications (Top & Relevant)

🔐 Ethical Hacking & Cybersecurity

  • CEH v13 — Certified Ethical Hacker
    EC-Council | Jul 2025
  • Capture The Flag (CTF) — Rank 113 / 3,235
    EC-Council | Aug 2025
  • Capture The Flag (CTF) — Rank 206 / 3,009
    EC-Council | Jul 2025
  • Complete Ethical Hacking Masterclass
    Udemy | Jun 2024
  • Real-Time OS Hacking — Hands-On Training
    NULL CLASS | Jul 2024

📊 Data Science & Machine Learning

  • NSDC Data Science
    NSDC × Skill India Digital Hub | May 2025
  • Data Science Training
    Internshala | Apr 2025
  • Python From Zero to Hero
    Udemy | Aug 2025
  • Fundamentals of Python Machine Learning
    Udemy | Aug 2025
  • Real-Time Emotion Detection — Hands-On Training
    NULL CLASS | Sep 2025

🌐 Other

  • Web Design & Development
    NSDC × Skill India Digital Hub | Jul 2025
  • Foundational C# with Microsoft
    freeCodeCamp × Microsoft | Aug 2025
  • Internship & Job Readiness
    Internshala | May 2025
  • Microsoft Azure Fundamentals
    Udemy | Dec 2023

🚢 Featured Projects (Selected)

These projects were chosen because they demonstrate depth, real-world relevance, and engineering maturity — not just tutorials.

🛡️ AI-Powered Network Intrusion Detection System

Why chosen:
My most advanced cybersecurity project — combines ML, deep learning, explainability, and real-time threat detection.

  • 99.1% validation accuracy using a 10-model ensemble
  • XGBoost, LSTM, GNN, Autoencoders
  • SHAP-based explainable AI
  • Real-time dashboard with Flask

🛡️ Network Intrusion Detection System (NIDS)

Why chosen:
Demonstrates core SOC-level defensive security skills.

  • Real-time traffic monitoring
  • Rule-based detection using Snort + Python
  • Automated response workflows
  • Practical network-security focus

🧠 UIDAI Data Hackathon — Aadhaar Analytics Dashboard

Why chosen:
Government-grade analytics with clean insights and presentation.

  • 93,000+ records analyzed
  • Interactive Plotly dashboard
  • Time-series & district-level analysis
  • Judge-ready PDF report
  • Azure deployment

🎣 Custom Phishing Detection Chrome Extension

Why chosen:
Shows security awareness + frontend engineering.

  • Multi-layer phishing detection (heuristics + optional ML)
  • Browser-level protection
  • User-friendly security dashboard
  • Real-world applicability

🌐 Network Sniffer Dashboard

Why chosen:
Strong foundation project for cybersecurity interviews.

  • Live packet capture with Scapy
  • Clean, neon-styled dashboard
  • Exportable traffic logs
  • Real-time monitoring

📊 Predictive Modeling for Smartphone Purchase Behavior

Why chosen:
Demonstrates applied machine learning with business relevance.

  • Random Forest model
  • Interactive Flask dashboard
  • End-to-end ML pipeline
  • Data-driven insights

🛒 MERN E-Commerce Store

Why chosen:
Shows full-stack fundamentals clearly and cleanly.

  • MongoDB, Express, React, Node
  • Product listing & cart management
  • Dynamic pricing logic
  • Responsive UI

💞️ Open to Collaborate On

  • Cybersecurity & ML-driven security tools
  • Data analytics dashboards
  • Full-stack applications with real users
  • Hackathons, CTFs, and research-style builds

📫 Let’s Connect

📧 Email: MandarKajbaje@gmail.com
💼 Portfolio: https://mandarkajbaje-portfolio.netlify.app/


😄 Pronouns

He / Him


⚡ Fun Fact

I can design, debug, analyze traffic, and ship dashboards while vibing to Lofi beats 🎧
Productivity mode: ON 🚀

Pinned Loading

  1. AI-Powered-Network-Intrusion-Detection-System AI-Powered-Network-Intrusion-Detection-System Public

    AI-powered Network Intrusion Detection System achieving 99.1% validation accuracy using a 10-model ML ensemble (XGBoost, LSTM, GNN, Autoencoder) with explainable AI (SHAP), real-time threat detecti…

    Python 1

  2. Custom-Phishing-Detection-Chrome-Extension Custom-Phishing-Detection-Chrome-Extension Public

    A modern Chrome extension that uses multi-layer detection (heuristics, optional ML, and API checks) to help identify potential phishing websites and keep users informed while browsing. The included…

    JavaScript

  3. CyberSecurity-Journey CyberSecurity-Journey Public

    Evidence-backed, frontend-only cybersecurity dashboard showcasing independent offensive, defensive, and compliance security work — featuring real attack workflows, failed and successful attempts, a…

    JavaScript

  4. Predictive-Modeling-for-Smartphone-Purchase-Behavior-ML Predictive-Modeling-for-Smartphone-Purchase-Behavior-ML Public

    Smartphone Purchase Prediction Dashboard - An interactive web application for predicting and analyzing smartphone purchase behavior.

    Jupyter Notebook

  5. Python-Journey Python-Journey Public

    Free, open‑source Python journey: 100+ runnable examples from basics to advanced (OOP, file I/O, concurrency, Tkinter) plus complete mini‑projects.

    Python

  6. MERN-E-Commerce-Store MERN-E-Commerce-Store Public

    A functional E-Commerce website built with MongoDB, ExpressJS, ReactJS, and Node.js. Features include product listing, cart management, and dynamic price updates.

    JavaScript