ADITYA SRINIVAS CHAMBULI
Visakhapatnam
Summary
Recent B.Tech graduate in Computer Science with hands-on experience in Cybersecurity, Network Security, Ethical Hacking, Penetration Testing, and tools like Kali Linux and Python. Seeking an entry-level cybersecurity role to leverage my skills in protecting information systems and enhancing security measures.
Overview
1
1
Certification
Work History
Business Development Assosiate
SmartKids
Visakhapatnam
05.2024 - Current
As a Business Development Associate in a publication, I developed and implemented strategies to increase sales and expand market reach. I built and maintained relationships with clients and partners, ensuring high levels of customer satisfaction and retention. Additionally, I conducted market research to identify new business opportunities and stayed updated on industry trends to inform business decisions.
Education
Computer Science
Dr. Lankapalli Bullayya College of Engineering
Visakhapatnam, Andhra Pradesh04.2024
12th Board - MPC
FIITJEE Junior College
Visakhapatnam, India03.2020
10th Board -
Sri Chaitanya Techno School
Visakhapatnam03-2018
Skills
- CYBERSECURITY
- NETWORK SECURITY
- ETHICAL HACKING
- PENETRATION TESTING
- KALI LINUX
- PYTHON
- HTML
- CSS
Internship
TechnohacksEdutech, Visakhapatnam, 07/2023-08/2023, During this internship, I successfully installed Kali Linux on my device and gained hands-on experience with a range of penetration testing tools. I became proficient in using Maltego for data analysis, Wireshark for network traffic monitoring, Burp Suite for web application security testing, Nmap for network scanning, and John the Ripper for password cracking.
Certification
- GOOGLE CYBERSECURITY-FOUNDATIONS OF CYBER SECURITY
- CERTIFIED ETHICAL HACKER TRAINING COMPLETION
- CERTIFIED ETHICAL HACKER -EC COUNCIL
Personality Traits
- ADAPTIVE
- DILIGENT
- TEAM PLAYER
- FLEXIBLE
- QUICK LEARNER
- AGREEABLE
Languages
- TELUGU-NATIVE
- HINDI-INTERMEDIATE
- ENGLISH-ADVANCED
Projects
Drone Detection Using YOLO Algorithm: Developed a real-time drone detection system utilizing the YOLO v3 computer vision algorithm. This system enhances security by accurately detecting and recognizing drones, with potential applications in military settings for monitoring airspace and identifying unauthorized or hostile UAVs. The advanced object recognition capabilities contribute to improved situational awareness and threat assessment.
Timeline
Business Development Assosiate
SmartKids
05.2024 - Current
Computer Science
Dr. Lankapalli Bullayya College of Engineering
12th Board - MPC
FIITJEE Junior College
10th Board -
Sri Chaitanya Techno School
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