Nadella Yamini Swetha

I am a versatile System Administrator with 1.5 years of experience specializing in Linux systems administration, including Red Hat environments, server patching, and troubleshooting. My expertise spans Machine Learning projects, cybersecurity, and IoT devices development. I have hands-on experience with hardware security, VLSI, and managing virtual and physical servers using VMware, HP ProLiant, and Dell technologies. Additionally, I have worked on Azure server administration, delivering secure and efficient infrastructure solutions across critical environments.

• Machine Learning
• Cloud Computing
• Hacking
• Signal & Systems
• Digital Communications
• Digital Signal Processing
• Integral Calculus
• VLSI
• IoT devices
• Network Theory

• COVID-19 Detection using CNN
  Developed a chest X-ray-based COVID-19 detection system using Convolutional Neural Networks (CNN).
  Trained the model on 820 samples, achieving 89% accuracy.
  Optimized for energy efficiency and faster detection times.
  
• RFID-based Attendance System with SMS Notification
  Created a student attendance tracking system using RFID technology.
  Designed a database system and integrated SMS notifications to inform parents of absences.
  
• Dynamic Wireless Charging for Electric Vehicles
  (Feb 2021 - Feb 2021)Explored wireless charging solutions for electric vehicles to improve efficiency and user convenience.
  Aimed to reduce reliance on wired charging infrastructure, enhancing sustainability.

• Facebook Phishing Page Detection
  Developed a phishing detection system using Machine Learning and Natural Language Processing (NLP) algorithms.
  Achieved 90% accuracy in identifying malicious URLs with Python, Scikit-Learn, and NLTK.
  Streamlined data processing to minimize false positives and enhance system performance.
  
• Website Footprinting
  Conducted monitoring and analysis of target websites to gather critical information on software versions and operating systems.
  Improved visibility into the technical infrastructure of target organizations.
  

• Introduction to Cybersecurity (NYU, Feb 2023)
• Beginner's Guide to Cyber Security (Dec 2022)
• Ethical Hacking Beginner (Dec 2022)
• Introduction to Machine Learning (Oct 2021)
• Introduction to Packet Tracer (Jul 2021)
• Cybersecurity Essentials (Jun 2021)
• Python Programming (May 2021)
• Evolution of Air Interface Towards 5G (Apr 2021)