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Deeptig9138/README.md

๐Ÿ’– Hi there, I'm Deepti Gupta! ๐Ÿ‘‹โœจ

LinkedIn GitHub Email


๐Ÿ‘ฉโ€๐Ÿ’ป About Me

๐ŸŒŸ Aspiring Software Engineer | Cloud Enthusiast | Problem Solver | Cybersecurity Student
๐Ÿ’ก Passionate about AI, Python, and Cloud Computing
๐Ÿš€ Check out my Projects on GitHub!
๐Ÿค Connect with me professionally on LinkedIn!
๐Ÿ‘ฏ Excited to contribute to open-source projects and AI initiatives
๐Ÿ“š Always learning and sharing knowledge!


๐Ÿ›  Tech Stack & Certifications

๐Ÿ’ป Languages

  • Python JavaScript C++ Java HTML CSS

โ˜๏ธ Cloud & DevOps

  • โ˜๏ธ AWS | โ˜๏ธ Microsoft Azure | ๐Ÿณ Docker

๐Ÿ› ๏ธ Tools & Platforms

  • Git GitHub VS Code Linux

๐Ÿ… Certifications

  • ๐ŸŽ“ Python Essentials
  • ๐ŸŽ“ Google AI Essentials | ๐ŸŽ“ Microsoft Azure AI Fundamentals: AI Overview | ๐ŸŽ“ Artificial Intelligence Fundamentals
  • ๐ŸŽ“ Google Cybersecurity | ๐ŸŽ“ Fortinet Certified Associate in Cybersecurity | ๐ŸŽ“ Cybersecurity Certification
  • ๐ŸŽ“ User Experience Design Fundamentals
  • ๐ŸŽ“ OSINT
  • ๐ŸŽ“ NDG Linux Unhatched
  • ๐ŸŽ“ Intro to Splunk
  • ๐ŸŽ“ Google Digital Marketing and E-commerce
  • ๐ŸŽ“ Flipkart GRID 6.0 - Software Development Track | ๐ŸŽ“ TATA Crucible Campus Quiz 2024 | ๐ŸŽ“ SAWIT.AI Learnathon

โš™๏ธ GitHub Stats

Deepti Gupta's GitHub Stats
GitHub Trophies


๐ŸŒŸ Highlighted Projects

๐Ÿค– Machine Learning and Data Analysis

  • ๐Ÿ“ Sentiment Analysis Project
    Analyze and visualize customer sentiments from product reviews with preprocessing, visualization, and ML modeling.

  • ๐Ÿ›๏ธ Customer Segmentation Project
    A data-driven project using KMeans clustering to identify customer segments, featuring an interactive Streamlit dashboard for real-time visualization and insights.

๐Ÿ”’ Cybersecurity

๐ŸŽฎ Interactive Applications

  • ๐ŸŽ‰ Speed Typing Test
    An interactive and fun typing speed test to sharpen your skills.

๐Ÿ’ก Currently Working On

  • ๐Ÿš€ DSA in CPP
    A collection of Data Structures and Algorithms in C++ for learning and practice.

๐Ÿ“š Repositories for Educational Purposes

๐Ÿง Fundamentals

  • ๐Ÿš€ Linux Fundamentals
    This covers the essentials for starting with the Linux operating system and terminal.

๐ŸŽ‰ Security Analyst

  • ๐Ÿ“š DFIR: An Introduction
    A beginner-friendly repository offering an introduction to Digital Forensics and Incident Response (DFIR) concepts.

๐Ÿ”’ Penetration Tester

  • ๐Ÿ”’ Pentesting-Fundamentals
    A beginner's guide to understanding Pentesting fundamentals.

  • ๐ŸŒ Nmap
    Enhance your knowledge of scanning techniques, scripting, and evasion strategies with practical hands-on learning.


๐Ÿค Let's Collaborate!

๐ŸŒ Connect via Email or LinkedIn.
๐Ÿ’ฌ Open to innovative project collaborations, tech discussions, and coding challenges!

โญ๏ธ Support my work by starring my repositories and following me for updates! ๐ŸŒˆโœจ

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  1. Cloud_Intrusion_Detection_System Cloud_Intrusion_Detection_System Public

    A Cloud Intrusion Detection System (IDS) that leverages AWS CloudTrail logs to monitor and detect suspicious activities in a cloud environment. The system implements both rule-based and anomaly-basโ€ฆ

    Python 2

  2. Speed-Typing-Test Speed-Typing-Test Public

    A web-based speed typing test application built using Flask, HTML, CSS, and JavaScript. The application allows users to test their typing speed and accuracy against randomly selected passages, provโ€ฆ

    JavaScript 1

  3. Pentesting-Fundamentals Pentesting-Fundamentals Public

    Important ethics and methodologies behind every pentest

    1

  4. Sentiment-Analysis-Project Sentiment-Analysis-Project Public

    Analyzing the dataset and building a basic sentiment classification model.

    Python 1

  5. Linux-Fundamentals Linux-Fundamentals Public

    This covers the fundamentals required to work comfortably with the Linux operating system and shell.

    1

  6. customer-segmentation-project customer-segmentation-project Public

    Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marโ€ฆ

    Python 2